An example operation includes one or more of determining a route and type of elements to be transported by a transport and decommissioning one or more batteries on the transport based on the determining. The one or more batteries are configured to be detachably attached.
G06Q 10/30 - Administration of product recycling or disposal
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database systemDistributed database system architectures therefor
An example operation includes one or more of determining, by a transport, when the transport will not be in use for a time greater than an amount of time, modifying, by the transport, a current charge in the transport at a beginning of the amount of time, wherein the modifying preserves an amount of charge of at least one battery in the transport at or below a first threshold, and receiving, by the transport, a next charge at or above a second threshold at an end of the time.
B60L 53/62 - Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
B60L 58/12 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
G07C 5/10 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time using counting means or digital clocks
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
An example operation includes one or more of receiving, by an electric vehicle (EV), an energy demand of an electrical grid, wherein the EV is configured to store energy and to distribute the energy, determining, by the EV, an operational mode based on the energy demand, wherein the operational mode is at least one of a cost-optimization mode or an environmental-optimization mode, and executing, by the EV, an energy transaction based on the operational mode, wherein the executing comprises at least one of: distributing the energy from the EV to the electrical grid, transferring the energy from the EV to another EV, or storing by the EV additional energy from a renewable energy source, wherein a timing of the energy transaction is based on an execution of an artificial intelligence (AI) model that predicts a future energy demand of the electrical grid.
Methods, systems, and devices for a vehicle light. The vehicle light may include a housing and a substrate coupled to the housing. The vehicle light may further include a plurality of LEDs coupled to the substrate. The plurality of LEDs may include at least two LEDs of a first color and at least two LEDs of a second color. The plurality of LEDs may be positioned on the substrate such that a left half or portion of the substrate mirrors a right half or portion of the substrate and/or a top half or portion of the substrate mirrors a bottom half or portion of the substrate with respect to a position and a color of each LED of the plurality of LEDs.
B60Q 1/08 - Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights adjustable, e.g. remotely-controlled from inside vehicle automatically
F21Y 113/17 - Combination of light sources of different colours comprising an assembly of point-like light sources forming a single encapsulated light source
An example operation includes one or more of capturing sensor data via a hardware sensor of a vehicle while the vehicle is at a location, determining that a temperature of an ambient environment around the vehicle is below a predetermined temperature threshold based on the sensor data, identifying a second location which is warmer than the location based on mapping data from a mapping application associated with the vehicle, and autonomously moving the vehicle to the second location.
B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
B60L 1/02 - Supplying electric power to auxiliary equipment of electrically-propelled vehicles to electric heating circuits
B60L 53/00 - Methods of charging batteries, specially adapted for electric vehiclesCharging stations or on-board charging equipment thereforExchange of energy storage elements in electric vehicles
B60L 58/12 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
An example operation includes one or more of detecting an occupant is present within a seat of a vehicle, downloading previously-captured sensor data of the occupant from a remote platform, wherein the previously-captured sensor data is captured outside of the vehicle, determining an optimal seat configuration based on execution of an artificial intelligence (AI) model on the previously-captured sensor data, and modifying settings of the seat of the vehicle in which the occupant is present based on the optimal seat configuration
An example operation includes one or more of receiving, via a vehicle, sensor data of an individual from one or more devices that are located outside of the vehicle, determining a physical state of the individual based on the sensor data and creating a profile of the individual with the physical state of the individual, detecting that the individual has entered the vehicle, determining an action to perform by the vehicle while the individual is in the vehicle and as the vehicle is maneuvering to a destination based on execution of an artificial intelligence (AI) model on the profile of the individual, and executing the action by the vehicle prior to the vehicle arriving at the destination.
An example operation includes one or more of identifying a state of an individual associated with a vehicle based on data of the individual stored in a profile, determining a current time of day from a system of the vehicle, determining a setting to change on one or more systems within the vehicle based on execution of an artificial intelligence (AI) model on the state of the individual and the current time of day, and changing the setting on the one or more systems within the vehicle while the individual is within the vehicle.
B60R 16/037 - Electric or fluid circuits specially adapted for vehicles and not otherwise provided forArrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric for occupant comfort
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
9.
ARTIFICIAL INTELLIGENCE-BASED MEASUREMENT OF ROAD CONDITION
An example operation includes one or more of receiving sensor data of an area of a road ahead of a vehicle traveling on the road, determining that an abnormal situation exists on the area of the road ahead based on the sensor data, determining a maneuver for the vehicle to perform to avoid the abnormal situation based on an execution of an artificial intelligence (AI) model on the sensor data, and controlling the vehicle to autonomously perform the maneuver while the vehicle is travelling on the area of the road.
An example operation includes one or more of receiving sensor data from at least one of a vehicle and a mobile device, while an occupant is traveling in the vehicle, determining a total amount of time that the occupant will be traveling in the vehicle based on a destination of the vehicle, determining an action to take by the occupant to improve health of the occupant based on execution of an artificial intelligence (AI) model on the sensor data and the total amount of time that the occupant will be traveling in the vehicle, and outputting a notification of the action to take via a display system within an interior of the vehicle.
A method, computer program product, and computer system for identifying, by a computing device, a scenario of a plurality of scenarios associated with an occupant of a vehicle. A voice profile of an avatar may be determined for the scenario of the plurality of scenarios associated with the occupant of the vehicle. The voice profile of the avatar determined for the scenario of the plurality of scenarios associated with the occupant of the vehicle may be selected, wherein the voice profile of the avatar may be selected from a plurality of voice profiles. Audio may be provided to the occupant of the vehicle using the voice profile of the avatar based upon, at least in part, identifying the scenario of the plurality of scenarios associated with the occupant of the vehicle.
Different information communication variants (e.g., icon size or arrangement) are selected for use in the in-cabin displays and other user interaction mechanisms. As users adjust and interact with the in-cabin interaction mechanisms, those adjustments and interactions are collected. These user interface data, charging behaviors, etc. are then analyzed and used to determine preferred information communication variants. The vehicle cockpit becomes a personal testing laboratory on wheels that aims to understand the driver and produce the best-in-class cockpit experience for drivers/users.
Methods and systems for determining impaired driving is provided. The methods include acquiring controller area network (CAN) data and location data of a vehicle, comparing the CAN data to a reference data associated with driving behavior of a driver of the vehicle, determining the driver is impaired driving in response to determining that a level of deviation of the CAN data from the reference data is greater than a threshold value, changing the threshold value in response to determining that the location data indicates the vehicle is located in an area associated with a place offering access to alcohol, and controlling operations of the vehicle in response to determining that the driver is impaired driving.
B60W 50/12 - Limiting control by the driver depending on vehicle state, e.g. interlocking means for the control input for preventing unsafe operation
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
B60W 50/00 - Details of control systems for road vehicle drive control not related to the control of a particular sub-unit
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
An example operation includes one or more of determining an adverse condition will exist on a power grid at a future time, identifying an electric vehicle at a location connected to the power grid and controlling the electric vehicle to store power based on the future time, disconnecting the location from the power grid when the adverse condition occurs, and controlling the electric vehicle to distribute power to one or more devices at the location after disconnecting the location from the power grid.
B60L 55/00 - Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
G01R 31/08 - Locating faults in cables, transmission lines, or networks
H02H 7/26 - Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occurred
An example operation includes one or more of determining a plurality of devices powered by energy at a location, wherein the determining includes a start time of use and an end time of use for the plurality of devices, an amount of energy consumed by the plurality of devices, and a criticality of need of the plurality of devices, determining a state-of-charge (SOC) of an electric vehicle (EV) battery and a SOC of on-premises energy storage device, wherein the EV battery and the on-premises energy storage device are connected to deliver energy to the location, and providing energy from at least one of the EV battery or the on-premises energy storage device to at least one of the plurality of devices, from the start time of use to the end time of use, based on the amount of energy consumed by the at least one of the plurality of devices, the criticality of need of the at least one of the plurality of devices, the SOC of the EV battery, and the SOC of the on-premises energy storage device.
An example operation includes one or more of preconditioning a cabin of an electric vehicle (EV) to an initial temperature while the EV is connected to a charging point, monitoring movement of the EV as it maneuvers toward a destination, adjusting the initial temperature of the cabin at predetermined distance intervals while the EV maneuvers to the destination, and sensing a temperature within the cabin while the EV maneuvers to the destination and stopping the adjusting when the temperature within the cabin reaches a predefined value.
An example operation includes one or more of receiving a message from a user device, the message comprising a timestamp, a random number, and a hash value, identifying a globally unique identifier (GUID) in a storage of a software application, combining the timestamp, the random number, and the GUID to generate a combined value, and hashing the combined value to generate a local hash value, and establishing a connection between the software application and the user device when the local hash value matches the hash value.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
An example operation includes one or more of receiving a file comprising one or more secrets that are stored within a source code of a software application, generating one or more dummy values, mapping each of the one or more secrets to a corresponding dummy value of the one or more dummy values, replacing each of the one or more secrets that are stored within the source code with the corresponding dummy value to generate a modified source code, and storing the modified source code and the mapping in a data store.
An example operation includes one or more of detecting an issue with respect to a subsystem of a vehicle, capturing sensor data of an operation of the vehicle while the issue is occurring, establishing a network connection between the vehicle and a software application hosted by a remote server and posting the sensor data to an online forum that is operated by the software application, and connecting the vehicle to a remote mechanic terminal over a computer network via the software application.
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
G07C 5/00 - Registering or indicating the working of vehicles
20.
AI-BASED SYSTEM FOR PROLONGING THE LIFE OF A VEHICLE
An example operation includes one or more of receiving sensor data of a vehicle as the vehicle travels along a route, identifying an attribute of the vehicle that is degrading while the vehicle is travelling along the route based on the sensor data, determining an action to take to reduce degradation of the attribute of the vehicle when travelling along the route based on execution of an artificial intelligence (AI) model on the sensor data, and displaying a notification with an instruction to perform the action to take to reduce the degradation of the attribute of the vehicle via a display device of the vehicle.
B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
B60W 10/26 - Conjoint control of vehicle sub-units of different type or different function including control of energy storage means for electrical energy, e.g. batteries or capacitors
B60W 50/02 - Ensuring safety in case of control system failures, e.g. by diagnosing, circumventing or fixing failures
G06V 20/56 - Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
An example operation includes one or more of receiving sensor data of a vehicle as the vehicle travels along a road, determining that an environment around the vehicle has deteriorated based on the sensor data of the vehicle, extracting previously-captured sensor data of the road, wherein the previously-captured sensor data is captured by one or more other vehicles while travelling along the road, determining a view of the road based on execution of an artificial intelligence (AI) model on the previously-captured sensor data, and displaying the view of the road within the vehicle via augmented reality while the vehicle travels along the road.
G05D 101/15 - Details of software or hardware architectures used for the control of position using artificial intelligence [AI] techniques using machine learning, e.g. neural networks
An example operation includes one or more of determining a time for utilizing stored energy at a location, from at least one of an electric vehicle (EV) battery or an energy storage unit, in response to a cost of the stored energy being below a first threshold, shifting a source of energy to the location using the at least one of the EV battery or the energy storage unit at the time, and providing a value indicator to the location, based on an environmental goal related to the shifting being above a second threshold.
An example operation includes one or more of dividing a vehicle into a plurality of zones based on operations performed by vehicle, assigning a different subset of electronic control units (ECUs) from among a plurality of ECUs of the vehicle to each zone based on functions performed by the plurality of ECUs with respect to the plurality of zones, determining an operation to perform for the vehicle, identifying a zone from among the plurality of zones for controlling the operation, and pooling data input by and output by a subset of ECUs included in the zone during the operation and storing the pooled data in a storage device.
An example operation includes one or more of training an artificial intelligence (AI) model based on sensor data received from a plurality of vehicles and actions performed by the plurality of vehicles while travelling along a route, receiving driver data and sensor data from a vehicle as the vehicle travels along the route, detecting that uncertain conditions exist based on the driver data and the sensor data, in response to the detecting, determining an action to perform by the vehicle based on execution of the AI model on the driver data and the sensor data, and displaying a notification with an instruction to perform the action to take via a display device of the vehicle.
An example operation includes one or more of receiving data related to an auxiliary charge from one or more of electric transports, charging stations, and energy storage units proximate a moving transport, determining an energy capability at a location associated with a final destination of the moving transport, where the location is proximate the electric transports, charging stations, and energy storage units, and responsive to the energy capability being below a threshold, initiating transfer of the auxiliary charge between the location and the electric transports, charging stations, and energy storage units, based on the data.
An example operation includes one or more of determining a future energy need of an energy infrastructure at a location, and responsive to the future energy need being above a threshold, recommending an electric vehicle (EV) that can provide energy to the location to lower the future energy need toward the threshold via a user interface.
An example operation includes one or more of receiving a request to compile a software application, identifying one or more dummy values which were previously stored in source code of the software application, translating the one or more dummy values into source code using one or more secret values stored in a data store, and compiling, via a device, the source code of the software application into binary code using the secret values.
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
An example operation includes one or more of determining, via a transport, a state of charge of a storage unit of the transport, determining, via the transport, an environment at a location, determining, via the transport, a status of a charging station at the location including at least one of a location energy cost and a location power level and providing, via the transport, a needed amount of energy to the charging station at the location based on the status of the charging station.
B60L 53/63 - Monitoring or controlling charging stations in response to network capacity
B60L 53/68 - Off-site monitoring or control, e.g. remote control
B60L 55/00 - Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
H04B 5/79 - Near-field transmission systems, e.g. inductive or capacitive transmission systems specially adapted for specific purposes for data transfer in combination with power transfer
Aspects of the present disclosure provide techniques for artificial intelligence based vehicle software management. An example method includes detecting a defect in first code associated with one or more computing devices of a vehicle. The method further includes generating a correction to the defect using a first artificial intelligence (AI) model. The method further includes obtaining updated code of the first code based at least in part on the correction. The method further includes determining that the updated code satisfies one or more criteria. The method further includes transferring the updated code to the vehicle in response to the updated code satisfying the one or more criteria.
An example operation includes one or more of determining a remaining time until charging of a vehicle is complete and transmitting content to the vehicle based on the remaining time.
B60L 53/66 - Data transfer between charging stations and vehicles
B60L 53/10 - Methods of charging batteries, specially adapted for electric vehiclesCharging stations or on-board charging equipment thereforExchange of energy storage elements in electric vehicles characterised by the energy transfer between the charging station and the vehicle
B60L 53/00 - Methods of charging batteries, specially adapted for electric vehiclesCharging stations or on-board charging equipment thereforExchange of energy storage elements in electric vehicles
Aspects of the present disclosure provide techniques for artificial intelligence (AI)-based software application generation. An example method includes obtaining a description of a software application. The method further includes providing, to an artificial intelligence (AI) model, first input data comprising an indication of the description. The method further includes obtaining, from the AI model, first output data comprising one or more first executable packages of the software application. The method further includes storing the one or more first executable packages in memory for execution by one or more processors.
A vehicle upgrade system includes a processor and a non-transitory, processor-readable storage medium communicatively coupled to the processor and including one or more instructions stored thereon that, when executed, cause the processor to access a digital non-fungible token wallet of a vehicle owner; import one or more customization NFTs stored in the digital NFT wallet; and adjust one or more vehicle characteristics according to the one or more customization NFTs stored in the digital NFT wallet.
G06Q 20/36 - Payment architectures, schemes or protocols characterised by the use of specific devices using electronic wallets or electronic money safes
An example operation includes one or more of determining a remaining time until charging of a vehicle is complete and transmitting content to the vehicle based on the remaining time.
A63F 13/355 - Performing operations on behalf of clients with restricted processing capabilities, e.g. servers transform changing game scene into an encoded video stream for transmitting to a mobile phone or a thin client
B60L 53/66 - Data transfer between charging stations and vehicles
H04W 4/40 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
An example operation includes one or more of saving a hash of data including occupant data and transport data on a transport in response to the transport is started, performing a security check that validates the hash of data against the data in response to the transport is started, and providing a resolution when the security check fails.
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
B60R 16/023 - Electric or fluid circuits specially adapted for vehicles and not otherwise provided forArrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric for transmission of signals between vehicle parts or subsystems
B60W 50/02 - Ensuring safety in case of control system failures, e.g. by diagnosing, circumventing or fixing failures
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
35.
Security for content delivery during vehicle charging
An example operation includes one or more of determining a vehicle is receiving content while connected to a charging point, and providing an alert when an adverse situation arises within a proximity threshold of the vehicle while an occupant is consuming the content.
An example operation includes one or more of detecting, by a transport, a difference between sensor data associated with a location outside the transport and data stored on the transport and updating, by the transport, the data stored on the transport with the difference.
An example operation may include one or more of parking a transport in an initial space, determining an average time of an event attended by at least one occupant associated with the transport, moving the transport to at least one other space when an elapsed time of the event is less than the average time and when the at least one other space is available and closer to an event location than the initial space, and moving the transport to a final space when the event is completed, and the final space is a location of a device associated with the at least one occupant.
An example operation includes one or more of predicting, by a vehicle, a duration and a severity of an electrical-related event, determining, by the vehicle, a behavior profile of a group of devices at a location, based on a need of at least one of the group of devices during the event, and an amount of energy consumption of at least one of the group of devices during the event, predicting, by the vehicle, an energy requirement during the event at the location, based on the predicted duration, the predicted severity and the determined behavior profile, directing, by the vehicle, energy to be stored prior to the event by both the vehicle and an energy storage unit (ESU) associated with the location, and directing, by the vehicle, a flow of energy to the group of devices during the event, from the ESU and the vehicle.
B60R 16/033 - Electric or fluid circuits specially adapted for vehicles and not otherwise provided forArrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric for supply of electrical power to vehicle subsystems characterised by the use of electrical cells or batteries
B60L 1/00 - Supplying electric power to auxiliary equipment of electrically-propelled vehicles
B60L 53/62 - Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
B60L 55/00 - Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
39.
DELIVERING A GOOD OR SERVICE TO A CHARGING VEHICLE
An example operation includes one or more of determining a charging window to charge an electric vehicle (EV) battery of a vehicle from a first charge level to a second charge level, determining a delivery window during which an item will be delivered to the vehicle based on the charging window, and dispatching a delivery of the item to the vehicle.
An example operation includes one or more of determining a charge level of an electrical vehicle (EV) battery of a vehicle charging at a charging point, and offering an item to the vehicle when the charge level is at or above a charge threshold and at least one other vehicle is waiting for the charging point.
An example operation includes one or more of providing energy to a location through a multi-interface energy panel, wherein first interface connects to an electrical grid and a second interface connects to one or more of a battery of an electric vehicle at the location or a second battery of an energy storage unit at the location, and wherein, in response to a demand of the electrical grid being above a threshold, providing the energy through the multi-interface energy panel to the location, from the first battery or the second battery, based on a state-of-charge of the first battery and a state-of-charge of the second battery.
An example operation includes one or more of detecting that a vehicle is connected to a charging point, transmitting a request to a device associated with the vehicle for the vehicle to provide energy to the charging point, and in response, providing content to the device based on an amount of the energy provided.
H04L 65/613 - Network streaming of media packets for supporting one-way streaming services, e.g. Internet radio for the control of the source by the destination
B60L 53/66 - Data transfer between charging stations and vehicles
B60L 53/68 - Off-site monitoring or control, e.g. remote control
An example operation includes one or more of reserving an available charging point at a charging station for a vehicle at an arrival time at the charging station when one other charging point at the charging station will be available for one other vehicle in a time less than a threshold time after the arrival time.
An example operation includes one or more of determining an expected charging duration of an electric vehicle (EV) at a charging point, determining content preferences of an occupant associated with the EV, wherein the content preferences are based on profile data of the occupant associated with the occupant, and delivering content to the EV, based on the expected charging duration and the content preferences.
G06F 16/9535 - Search customisation based on user profiles and personalisation
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
45.
CHARGING CONNECTOR DISENGAGEMENT DURING AN UNSAFE SITUATION
An example operation includes one or more of determining by a vehicle being charged that an unsafe situation exists, and responsive to determining that the unsafe situation exists, disengaging a charging connector on the vehicle and re-engaging a driving functionality of the vehicle. For example, the disengaging may include unlocking a safety latch that secures a charging port of a charging point to the charging connector and the re-engaging may include enabling a gear shift of the vehicle to move into a driving gear.
B60W 40/02 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to ambient conditions
B60L 53/30 - Constructional details of charging stations
46.
ARTIFICIAL INTELLIGENCE AND CONTENT DELIVERY DURING CHARGING
An example operation includes one or more of determining an expected charging duration of an electric vehicle (EV) at a charging point, determining content preferences of an occupant associated with the EV, wherein the content preferences are based on profile data of the occupant associated with the occupant, and delivering content to the EV, based on the expected charging duration and the content preferences.
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
G06F 16/9535 - Search customisation based on user profiles and personalisation
B60L 53/10 - Methods of charging batteries, specially adapted for electric vehiclesCharging stations or on-board charging equipment thereforExchange of energy storage elements in electric vehicles characterised by the energy transfer between the charging station and the vehicle
47.
CHARGING CONNECTOR DISENGAGEMENT DURING AN UNSAFE SITUATION
An example operation includes one or more of determining by a vehicle being charged that an unsafe situation exists, and responsive to determining that the unsafe situation exists, disengaging a charging connector on the vehicle and re-engaging a driving functionality of the vehicle. For example, the disengaging may include unlocking a safety latch that secures a charging port of a charging point to the charging connector and the re-engaging may include enabling a gear shift of the vehicle to move into a driving gear.
B60Q 1/52 - Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to indicate the vehicle, or parts thereof, or to give signals, to other traffic for indicating other intentions or conditions, e.g. request for waiting or overtaking for indicating emergencies
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
B60L 53/16 - Connectors, e.g. plugs or sockets, specially adapted for charging electric vehicles
B60L 53/62 - Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
B60L 53/68 - Off-site monitoring or control, e.g. remote control
An example operation includes one or more of determining at least one high-priority device at a location, determining a loss of electricity at the location has occurred thereby rendering the device unusable, and directing electricity from a vehicle to the device, based on a need being over a threshold.
A video interface for signals between a wireless camera and a display, disposed on a vehicle, can include a microcontroller, a first port, and a second port. The microcontroller can be configured to process analog signals to produce digital signals. The analog signals can represent images produced by the wireless camera. The digital signals can represent the images for the display. The first port can be configured to be connected to an antenna, disposed on the vehicle, for the analog signals. For example, the wireless camera can be configured to be mounted on a trailer configured to be towed by the vehicle. The second port can be configured to be connected to a cable for the display. The video interface can be configured to be disposed on the vehicle. The wireless camera can have two external single pole antennas.
B60R 1/22 - Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles for viewing an area outside the vehicle, e.g. the exterior of the vehicle
A video interface for signals between a camera and displays, disposed on a vehicle, can include a microcontroller, a first port, and a second port. The microcontroller can be configured to process received signals to produce first digital signals and second digital signals. The received signals can represent images produced by the camera. The first digital signals can be for first representations of the images. The second digital signals can be for second representations of the images. The first port can be configured to be connected to a cable for a first display. The second port can be configured to be connected to a cable for a second display. For example: (1) the first representations can mimic images produced by a reversing camera and (2) the second representations can mimic a view observable in a rearview mirror. The video interface can be configured to be disposed on the vehicle.
B60R 1/26 - Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles for viewing an area outside the vehicle, e.g. the exterior of the vehicle with a predetermined field of view to the rear of the vehicle
B60K 35/28 - Output arrangements, i.e. from vehicle to user, associated with vehicle functions or specially adapted therefor characterised by the type of the output information, e.g. video entertainment or vehicle dynamics informationOutput arrangements, i.e. from vehicle to user, associated with vehicle functions or specially adapted therefor characterised by the purpose of the output information, e.g. for attracting the attention of the driver
An example operation includes setting a mode of a vehicle based on an operation of the vehicle, a characteristic of the vehicle, a time, and/or a location of the vehicle. The mode is any of a service mode wherein personal information of a user of the vehicle is inaccessible; a development mode wherein a functionality of the vehicle is able to be modified, tested and/or validated, and wherein a security control of the vehicle is limited; and a normal mode wherein the functionality of the vehicle is enabled and the personal information of the user of the vehicle is accessible and modifiable.
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
Systems, apparatuses, and methods provide for musical processing for vehicle mapping systems. audio data to be played is obtained. A plurality of features are identified in a map currently presented on a display of a vehicle. The audio data is played. A display is changed of at least one of the plurality of features in the map based on the play of the audio data.
An example operation includes one or more of receiving an authorization code for a software update by a transport component, executing the software update on the transport component, responsive to a successful execution of the software update, generating a validation code by the transport component, and running the software update on other transport components based on the validation code.
G06F 8/71 - Version control Configuration management
H04L 9/00 - Arrangements for secret or secure communicationsNetwork security protocols
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
An example operation includes setting a mode of a vehicle based on an operation of the vehicle, a characteristic of the vehicle, a time, and/or a location of the vehicle. The mode is any of a service mode wherein personal information of a user of the vehicle is inaccessible; a development mode wherein a functionality of the vehicle is able to be modified, tested and/or validated, and wherein a security control of the vehicle is limited; and a normal mode wherein the functionality of the vehicle is enabled and the personal information of the user of the vehicle is accessible and modifiable.
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
An example operation includes one or more of: arranging a connection between a first vehicle associated with a location and a second vehicle associated with the location, wherein the first vehicle has an excess of stored energy and the second vehicle has a shortage of stored energy; and transferring energy from the first vehicle connected at a first connection point associated with the location to a second vehicle connected at a second connection point associated with the location.
An example operation includes one or more of receiving a scan of a cabin of a vehicle, wherein the scan includes a spatial region inside the vehicle and outside the vehicle proximate at least one vehicle door, determining at least one occupant characteristic based on the scan, including a classification detection and a presence detection of at least one seat inside the vehicle, determining a cabin status based on the at least one occupant characteristic and communicating the cabin status to a mobile device.
An example operation includes one or more of determining a usage of an internal combustible engine (ICE) vehicle and a usage of an electric vehicle over a period of time, where the vehicles are associated with an entity, determining an impact of carbon output, based on the usage determination, determining a usage amount of the electric vehicle to offset the impact, when the impact is greater than a first threshold, and sending a notification to a device associated with the entity, where the notification includes the amount of usage of the electric vehicle.
G07C 5/00 - Registering or indicating the working of vehicles
G06Q 30/0207 - Discounts or incentives, e.g. coupons or rebates
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
An example operation may include one or more of detecting, by a parking processing node, a parking of a transport at an event location, accessing, by the parking processing node, a device of a transport occupant to determine a transport pickup location and a pickup time based on a conclusion of an event, detecting, by the parking processing node, from the device of the transport occupant at least one modification of the pickup location and the pickup time made based on an updated conclusion of the event, and sending a command to move the transport to a location proximate to the event based on the modified pickup location and the modified pickup time.
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database systemDistributed database system architectures therefor
G06F 16/787 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
An example operation may include one or more of receiving a software update at a transport of a subset of transports, validating the software update based on one or more of: a period of time when the software update is in use, and a number of utilizations of the software update by the subset of the transports, propagating the software update based on the validating, to a further subset of transports, wherein the further subset of the transports is larger than the subset of the transports.
H04L 67/00 - Network arrangements or protocols for supporting network services or applications
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
An example operation includes one or more of entering, by a vehicle, a security mode, when sensors on the vehicle detect a movement or an irregular sound, collecting data, by the vehicle, from the sensors to record an area proximate the vehicle, analyzing, by the vehicle, the data to determine a security threat, notifying, by the vehicle, a device associated with the vehicle when the security threat is above a threshold, and performing an action, by the vehicle, based on a message received from the device.
B60R 16/037 - Electric or fluid circuits specially adapted for vehicles and not otherwise provided forArrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric for occupant comfort
B60R 25/102 - Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device a signal being sent to a remote location, e.g. a radio signal being transmitted to a police station, a security company or the owner
B60R 25/30 - Detection related to theft or to other events relevant to anti-theft systems
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
H03G 3/30 - Automatic control in amplifiers having semiconductor devices
H03G 3/32 - Automatic control in amplifiers having semiconductor devices the control being dependent upon ambient noise level or sound level
H04M 1/60 - Substation equipment, e.g. for use by subscribers including speech amplifiers
H04W 4/40 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
H04W 4/90 - Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]
H04W 64/00 - Locating users or terminals for network management purposes, e.g. mobility management
An example operation may include one or more of associating a device of an occupant of a vehicle with the vehicle, wherein the vehicle is configured to respond to commands from the device, receiving data from the associated device, determining that an unauthorized user is in possession of the associated device based on the data received from the associated device, and disallowing the commands sent from the associated device based on the determination of the unauthorized user.
Apparatuses, systems, and methods relate to technology to receive first user data from an application and identify that the application is associated with a vehicle. The technology further generates, with a machine learning model, a parameter based on the first user data, where the parameter is associated with a display characteristic that controls a manner that information is presented on a user interface, further where the user interface is associated with the vehicle. The technology further provides the parameter to the vehicle based on the application being associated with the vehicle.
B60K 35/81 - Arrangements for controlling instruments for controlling displays
B60R 16/037 - Electric or fluid circuits specially adapted for vehicles and not otherwise provided forArrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric for occupant comfort
G06F 9/451 - Execution arrangements for user interfaces
Provided is a process that includes one or more of receiving data from sensors on a vehicle, where the data is associated with an internal environment of the vehicle and characteristics of an occupant of the vehicle and modifying functionality of the vehicle based on the received data, where the modifying updates a Graphical User Interface (GUI) of the vehicle and a GUI of a device associated with the occupant.
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
An example operation includes one or more of determining one or more objects in a transport that may become airborne and altering a portion of the transport to minimize the one or more objects from becoming airborne during a collision.
An example operation includes one or more of analyzing, by sensors in a vehicle, objects in the vehicle related to at least one occupant, a physical condition of the at least one occupant, and spoken words of the at least one occupant, determining a destination of the vehicle, based on the analyzing, and modifying a feature of the vehicle, based on the determining.
An example operation includes one or more of determining, by a vehicle, data preferences of one or more occupants in the vehicle, sending, by the vehicle, data to the one of more occupants, based on the determining, determining a reaction of the one or more occupants, responsive to the data being sent, and validating the data preferences of the one or more occupants, based on the determined reaction.
B60W 50/00 - Details of control systems for road vehicle drive control not related to the control of a particular sub-unit
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
G06V 40/20 - Movements or behaviour, e.g. gesture recognition
67.
ENGAGEABLE TOW HOOK ASSEMBLIES AND VEHICLES INCLUDING SAME
A tow hook assembly includes a receiving member and a clevis pin. The clevis pin has a bolt portion formed by a number of equidistant edges. Each pair of adjacent edges define an interior side wall that extends between the pair of adjacent edges. The interior side wall is recessed with respect to the edges. The bolt portion is configured such that the edges engage with a vehicle lug nut wrench.
An example operation includes one or more of determining a severity and a duration of a predicted deficiency of a renewable energy source in an area, responsive to the severity being above a first threshold and the duration being above a second threshold, providing stored energy from energy storage units in the area during the duration to overcome a portion of the predicted deficiency, and responsive to the severity being further above a third threshold and the duration being above a fourth threshold, providing stored energy from vehicles in the area during the duration to overcome another portion of the predicted deficiency, wherein the third threshold is greater than the first threshold, and the fourth threshold is greater than the second threshold.
An example operation includes one or more of: detecting a request for a software application from a vehicle computer, wherein the software application includes source code comprising one or more embedded placeholders that are mapped to one or more secrets stored in a data store of a vehicle; identifying the one or more secrets stored in the data store that are associated with the one or more embedded placeholders; replacing the one or more embedded placeholders with the one or more secrets identified from the data store into the source code of the software application; and executing the source code of the software application to cause the vehicle to perform an action.
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentialsReview and approval of payers, e.g. check of credit lines or negative lists
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
An example operation includes one or more of monitoring, by a transport exterior a location, an exchange performed in an interior of the location by a recent occupant of the transport, and completing, by the transport, the exchange.
G06Q 20/36 - Payment architectures, schemes or protocols characterised by the use of specific devices using electronic wallets or electronic money safes
An example operation includes one or more of: receiving usage data of a group of vehicles; determining an operator of a vehicle of the group of vehicles with a lowest battery degradation, based on the usage data; and predicting one or more other operators of other vehicles of the group of vehicles, with a highest probability of providing the lowest battery degradation, based on the determining.
B60L 53/68 - Off-site monitoring or control, e.g. remote control
B60L 58/16 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
An example operation includes one or more of: determining, by a charging station, that a vehicle requests approval to receive a charge; accessing, by the charging station, personal information related to the vehicle and related to an occupant of the vehicle; analyzing, by the charging station, the personal information related to the vehicle and related to the occupant of the vehicle; determining, by the charging station, to grant the approval, based on the analyzing; and, responsive to the approval being granted, deleting, by the charging station, the accessed personal information related to the vehicle and related to the occupant of the vehicle, after the vehicle has received the charge.
An example operation includes one or more of determining, by a transport, an energy transfer condition exists along a route, routing, by the transport, to a location on the route based on the energy transfer condition exceeding an energy transfer value and based on one or more traffic conditions, aligning, by the transport, a position of the transport at the location to wirelessly receive an energy transfer, and receiving, by the transport, the energy transfer while the transport is in motion.
H02J 50/90 - Circuit arrangements or systems for wireless supply or distribution of electric power involving detection or optimisation of position, e.g. alignment
G08G 1/00 - Traffic control systems for road vehicles
G08G 1/01 - Detecting movement of traffic to be counted or controlled
G08G 1/0968 - Systems involving transmission of navigation instructions to the vehicle
G08G 1/127 - Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles to a central station
H02J 50/40 - Circuit arrangements or systems for wireless supply or distribution of electric power using two or more transmitting or receiving devices
H02J 50/50 - Circuit arrangements or systems for wireless supply or distribution of electric power using additional energy repeaters between transmitting devices and receiving devices
H02J 50/80 - Circuit arrangements or systems for wireless supply or distribution of electric power involving the exchange of data, concerning supply or distribution of electric power, between transmitting devices and receiving devices
75.
ON-PREMISES ENERGY STORAGE BASED ON PREDICTED ENERGY AVAILABILITY
An example operation includes one or more of: determining an impact to a location with an energy storage device, when an energy-related event will occur, recommending an amount of charge at the energy storage device prior to the event; and, responsive to the energy storage device being charged within a threshold of the recommended amount at the event, providing a first amount of energy to the location.
A computer-implemented method for identifying parts and determining errors in parts receiving at a parts receiving area and includes determining an output using a first sensor. The output is associated with at least one parts container. The computer-implemented method includes comparing the output to a stored expected output; and determining that the comparison exceeds a threshold. The comparison exceeding the threshold indicates an error with parts receiving. The computer-implemented method includes determining a cause of the error, using a second sensor, in response to determining that the comparison exceeded the threshold; and outputting, to a display, a notification about the cause of the error.
G06K 19/06 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
77.
METHODS, SYSTEMS, AND VEHICLES FOR DETERMINING A WAIT TIME AT A POINT OF INTEREST
A method of determining a wait time at a point of interest includes obtaining a current occupancy signal of a parking establishment associated with one or more points of interest, obtaining a historic occupancy signal of the parking establishment, determining, with one or more processors, a predicted wait time for the one or more points of interest associated with the parking establishment based on the current occupancy signal and the historic occupancy signal, and communicating the predicted wait time to a user with a user interface device.
An example operation includes one or more of determining, via a server, an energy transfer rate at a charging point, and providing content, via the server, to a vehicle at the charging point when the energy transfer rate is below a threshold.
An example operation includes one or more of receiving, by a charging point, energy from a vehicle connected to the charging point; and providing content to the vehicle related to an amount of the energy received from the vehicle.
An example operation includes one or more of receiving an input from a display device associated with a vehicle, wherein the input comprises a request to view content on the display device, determining content-consuming attributes of a user of the display device, based on content that has been consumed by the user on the display device, determining that a different user of a different vehicle has content-consuming attributes within a threshold of the user based on content that has been consumed by the different user on a different display device associated with the different vehicle, and outputting a content-sharing session to the display device associated with the vehicle and the different display device associated with the different vehicle.
An example operation includes one or more of receiving a request for charge from a vehicle from a software application on the vehicle, where the request comprises an identifier of a destination of the vehicle and a state of charge (SOC) of the vehicle, determining a charging time for the vehicle at a charging station based on the SOC, dynamically selecting content from among a database of content based on the destination and the charging time, detecting the vehicle performing a charging operation at the charging station, and delivering the dynamically selected content to a graphical user interface (GUI) of the software application while the vehicle is performing the charging operation.
G06F 9/451 - Execution arrangements for user interfaces
B60L 53/62 - Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
B60L 55/00 - Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
B60L 58/12 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
82.
GEOFENCE-TRIGGERED CONTENT DELIVERY FOR ELECTRIC VEHICLES AT CHARGING STATIONS
An example operation includes one or more of establishing global positioning system (GPS) coordinates of a virtual geographic boundary around a charging station through a software application, receiving a message from a vehicle which comprises a state of charge (SOC) of the vehicle and an identifier of the vehicle, verifying the vehicle based on the message, detecting that the vehicle has entered the virtual geographic boundary around the charging station based on GPS coordinates of the vehicle, and delivering content to a graphical user interface (GUI) of the software application in response to detection that the vehicle has entered the virtual geographic boundary.
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
83.
RESERVATION-LINKED CONTENT DELIVERY TO ELECTRIC VEHICLES AT CHARGING STATIONS
An example operation includes one or more of assigning a time slot to a vehicle for a charging operation at a charging station, where the time slot includes a starting point in time and an end point in time, transmitting a notification to the vehicle which includes an identifier of the charging station and the starting point in time, iteratively capturing sensor data at the charging station, determining whether the charging operation started on time based on the starting point in time and the sensor data, and in response to a determination that the charging operation started on time, delivering content to the vehicle while the charging operation is being performed.
B60L 53/66 - Data transfer between charging stations and vehicles
G06V 20/62 - Text, e.g. of license plates, overlay texts or captions on TV images
H04W 4/44 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
84.
DYNAMIC QUEUE MANAGEMENT FOR OPTIMIZED ELECTRIC VEHICLE CHARGING STATION SELECTION
An example operation includes one or more of iteratively receiving sensor data of current waiting times at a plurality of charging stations and iteratively generating updated sensor data for the plurality of charging stations based on the iteratively received sensor data, identifying a charging station among the plurality of charging stations that has a queue length that is below a predetermined threshold based on the updated sensor data, dynamically generating content associated with the charging station based on the queue length being below the predetermined threshold, notifying a vehicle about the charging station and the content, detecting the vehicle performing a charging operation at the charging station while the queue length is still below the predetermined threshold, and presenting the content on a graphical user interface (GUI) of a software application of the vehicle in response to detecting the charging operation being performed while the queue length is still below the predetermined threshold.
An example operation includes one or more of receiving, by a charging point, energy from a vehicle connected to the charging point; and providing content to the vehicle related to an amount of the energy received from the vehicle.
H02J 3/32 - Arrangements for balancing the load in a network by storage of energy using batteries with converting means
B60L 53/60 - Monitoring or controlling charging stations
B60L 58/10 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
An example operation includes one or more of querying a computer of a vehicle via a charging station, wherein the querying comprises receiving attributes of a rechargeable battery of the vehicle from the computer, determining a total charge time for the rechargeable battery based on the attributes of the rechargeable battery and attributes of the charging station, selecting media content from among a plurality of media content based on the total charge time determined for the rechargeable battery, and outputting the media content via the charging station.
B60L 53/60 - Monitoring or controlling charging stations
B60L 58/12 - Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
B60L 53/10 - Methods of charging batteries, specially adapted for electric vehiclesCharging stations or on-board charging equipment thereforExchange of energy storage elements in electric vehicles characterised by the energy transfer between the charging station and the vehicle
H02J 7/00 - Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
An example operation includes one or more of querying a computer of a vehicle via a charging station, wherein the querying comprises receiving attributes of a rechargeable battery of the vehicle from the computer, determining a total charge time for the rechargeable battery based on the attributes of the rechargeable battery and attributes of the charging station, selecting media content from among a plurality of media content based on the total charge time determined for the rechargeable battery, and outputting the media content via the charging station.
An example operation includes one or more of determining a class of a vehicle at a charging point; determining a level of content to deliver to the vehicle, based on the class of the vehicle; and delivering the level of the content to the vehicle when the vehicle is charging at the charging point.
An example operation includes one or more of determining a sensor on a transport is not functioning properly, determining a severity of the malfunction, responsive to the severity exceeding a threshold, lowering an autonomous level of the transport, and responsive to the severity continuing to exceed the threshold, limiting an operation of the transport based on an intended output of the malfunctioning sensor.
B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
B60W 50/00 - Details of control systems for road vehicle drive control not related to the control of a particular sub-unit
G01C 21/28 - NavigationNavigational instruments not provided for in groups specially adapted for navigation in a road network with correlation of data from several navigational instruments
G01C 25/00 - Manufacturing, calibrating, cleaning, or repairing instruments or devices referred to in the other groups of this subclass
An example operation includes one or more of determining a feature is not utilized by an occupant of a first vehicle, offering the feature in a second vehicle when the occupant is associated with the second vehicle, determining that the feature was used in the second vehicle for a minimum period of time, and offering the feature in the first vehicle.
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
An example operation includes one or more of determining a feature is not utilized by an occupant of a first vehicle, offering the feature in a second vehicle when the occupant is associated with the second vehicle, determining that the feature was used in the second vehicle for a minimum period of time, and offering the feature in the first vehicle.
An example operation includes one or more of determining an expected charging duration of an electric vehicle (EV) at a charging point, determining content preferences of an occupant associated with the EV, wherein the content preferences are based on profile data of the occupant associated with the occupant, and delivering content to the EV, based on the expected charging duration and the content preferences.
G06F 16/9535 - Search customisation based on user profiles and personalisation
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
96.
CONTROLLING APPLICATION USE DURING VEHICLE OPERATION
An example operation includes one or more of determining, by a vehicle, that an occupant assist application is operating in the vehicle to assist a vehicle occupant during vehicle operation, determining, by the vehicle, that an unsafe driving condition is likely to occur via a monitoring application, prior to a time that the unsafe driving condition is expected to occur, ceasing, by the vehicle, the occupant assist application, and executing, by the vehicle, a driving assist application to assist with the vehicle operation during the unsafe driving condition.
An example operation includes one or more of identifying, via a vehicle application of a vehicle, one or more topics of interest associated with a vehicle occupant based one or more vehicle occupant behaviors detected by the vehicle, applying, via the vehicle application, one or more enhanced services to a device associated with vehicle occupant based on the one or more topics of interest and an occupant profile, and modifying, via the vehicle application, the one or more enhanced services based on the device location and changes to the one or more vehicle occupant behaviors.
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
An example operation includes one or more of monitoring, via a vehicle, a behavior of an occupant of the vehicle, responsive to the behavior being above a threshold, generating via an application of the vehicle, a first suggested action intended for the occupant based on the behavior and an amount the behavior is above the threshold, monitoring, by the vehicle, whether the first suggested action is being performed by the occupant, determining an alternate action is being performed by the occupant, generating a second suggested action based on the alternate action and the first suggested action, and providing a value to an occupant device associated with the occupant responsive to the second action being detected by the transport.
G01C 21/28 - NavigationNavigational instruments not provided for in groups specially adapted for navigation in a road network with correlation of data from several navigational instruments
B60R 11/04 - Mounting of cameras operative during driveArrangement of controls thereof relative to the vehicle
B60R 21/015 - Electrical circuits for triggering safety arrangements in case of vehicle accidents or impending vehicle accidents including means for detecting the presence or position of passengers, passenger seats or child seats, e.g. for disabling triggering
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
B60W 50/00 - Details of control systems for road vehicle drive control not related to the control of a particular sub-unit
B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
B60W 60/00 - Drive control systems specially adapted for autonomous road vehicles
G01C 21/00 - NavigationNavigational instruments not provided for in groups
An example operation includes one or more of accessing, by an application providing assistance to a vehicle, sensor data associated with an environment inside and outside of a vehicle and profile data associated with a vehicle occupant, determining, by the application, an initial condition of the vehicle occupant based on the sensor data and the profile data, responsive to the initial condition being above a health condition threshold, accessing, by the application, health data associated with the vehicle occupant from a mobile device, determining, by the application, an updated condition of the vehicle occupant based on the health data, creating, by the application, an alert to notify the occupant based on the updated condition and one or more current driving conditions of the vehicle identified by the sensor data, and performing, by the vehicle, one or more vehicle actions based on the alert and the one or more current driving conditions.
G08G 1/0962 - Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
An example operation includes one or more of determining by a primary computing node that an en route vehicle will be delayed for a time-sensitive event, coordinating by the primary computing node with a secondary computing node at an event location and the en route vehicle to provide a real-time event experience to at least one device in the en route vehicle, managing by the primary computing node the real-time event experience between the secondary computing node and the at least one device in the en route vehicle, transferring by the primary computing node the real-time event experience to the secondary computing node when a device of the at least one device is in proximity to the secondary computing node, and terminating by the secondary computing node the real-time event experience when the at least one device reaches a specific location within the event location.
