Abstract: A system, method and server for a controlling a relation between a vehicle and traffic flow over a road segment. The system includes a telemetric device of the vehicle and a processor of the server. The telemetric device obtains telemetric data related to the road segment being traversed by the vehicle. The processor determines a property of the road segment based on the telemetric data and a road profile for the road segment, determines a disruption score indicative of a level of disruption in the traffic flow for the road segment based on the property, and outputs a notification signal when the disruption score is above a selected disruption threshold. The notification signal is usable for controlling the relation between the vehicle and the traffic flow.

Abstract: A method for performing a plurality of vehicle computing tasks includes determining the plurality of vehicle computing tasks that need to be performed and monitoring a wireless connectivity between a vehicle and a remote computing system. Monitoring the wireless connectivity between the vehicle and the remote computing system includes measuring, in real time, at least one quality of service (QoS) measurement of the wireless connectivity between the vehicle and the remote computing system. The method further includes determining whether to perform at least one of the plurality of vehicle computing tasks in at least one of the remote computing system or a vehicle controller of the vehicle based on at least one QoS measurement.

Abstract: A multimedia system is provided for a scalable infotainment system of a motor vehicle. The scalable infotainment system includes a camera, which is releasably attached to the motor vehicle and supports camera software components for generating a media signal. The multimedia system includes a media player and a computer attached to the motor vehicle. The computer has a processor and a non-transitory computer readable storage medium, which stores player software components including multiple streaming protocols used by the media player to play a media stream. The processor is programmed to transmit to the camera a player setup signal including data associated with the player software components. The processor is further programmed to receive from the camera a media signal associated with a media stream generated by the camera by using a common one of the streaming protocols supported by the camera and the media player.

Abstract: A system and method for sharing a digital key for a vehicle. The system includes a first digital key device having a digital key stored thereon, a second digital key device, and a vehicle server. The first digital key device sends a request to the vehicle server for a key sharing session. The vehicle server commences a key sharing session in response to the request. The first digital key device shares the digital key to a second digital key device. The vehicle server ends the key sharing session.

Abstract: A system for sharing sensor data between a vehicle and a plurality of remote system generally includes a vehicle communication system, a three-dimensional (3D) sensor, and a controller. The controller is programmed to generate an initial 3D point cloud using the 3D sensor, generate an occupancy grid map based on the initial 3D point cloud, and select a producer remote system to provide data for a cell of the occupancy grid map classified as a first blindspot. The controller is further programmed to send a data request to the producer remote system using the vehicle communication system, receive data from the producer remote system including information about the cell of the occupancy grid map classified as the first blindspot, generate a merged 3D point cloud by merging the data received from the producer remote system with the initial 3D point cloud, and identify objects using the merged 3D point cloud.

Abstract: A system for providing weather conditions to a target vehicle includes a plurality of sensors mounted within the target vehicle adapted to measure weather conditions at the target vehicle and a computer processor adapted to collect data of weather conditions at the target vehicle from the plurality of sensors mounted within the target vehicle, collect data of measured weather conditions of at least one known location remote from the target vehicle, and build a temporal-spatial effectiveness model adapted to estimate weather conditions of at least one unknown location remote from the target vehicle using the data of weather conditions at the target vehicle and the data of measured weather conditions of the at least one known location remote from the target vehicle.

Abstract: A driver monitoring system configured to monitor the performance of a driver of a vehicle communicating wirelessly with the driver monitoring system. The system comprises a driver behavior module that receives from the vehicle event data captured by a plurality of sensors in the vehicle and identifies at least one of a plurality of driver behaviors. A behavior characterization module receives from the driver behavior module the at least one identified driver behavior and characterizes the at least one identified driver behavior into at least one of a plurality of behavior categories. A risk assessment module analyzes the at least one characterized driver behavior in the plurality of behavior categories and determines therefrom a driver profile that may include a risk assessment for the driver of the vehicle system.

Abstract: A communication system that determines a context and an intent of a specific remote vehicle located in a surrounding environment of a host vehicle includes one or more controllers for receiving sensed perception data including sensed perception data. The one or more controllers execute instructions to determine a plurality of vehicle parameters related to the specific remote vehicle. The the one or more controllers execute instructions to associate the specific remote vehicle with a specific lane of travel of a roadway based on map data. The one or more controllers determines possible maneuvers, possible egress lanes, and a speed limit for the specific remote vehicle for the specific lane of travel based on the map data, and determines the context and the intent of the specific remote vehicle based on the plurality of vehicle parameters, the possible maneuvers, the possible egress lanes for the specific remote vehicle, and the speed limit related to the specific remote vehicle.

Abstract: A system for predicting a door opening event of a vehicle includes an identity recognition device associated with an individual occupant profile. The system also includes one or more controllers in electronic communication with the identity recognition device, where the one or more controllers store one or more individual occupant profiles in memory of the one or more controllers that includes historical occupant behavior exhibited by one or more occupants associated with the identity recognition device. The one or more controllers execute instructions to determine a predetermined condition has occurred, where the predetermined condition indicates the vehicle is undergoing a potential engine off event. The one or more controllers determine a door opening event probability value based on at least the gear position probability value and the engine off probability value.

Abstract: An occupant detection system for an interior cabin area of a vehicle includes one or more signal conversion devices including conversion circuitry and a wireless control module including a multi-band transceiver having two or more transceivers. The wireless control module executes instructions to continuously send, by a first transceiver, signals on a first frequency band. The wireless control module executes instructions to receive, by a second transceiver, signals on a second frequency band from a signal conversion device. The wireless control module compares original training symbols from the signals on the first frequency band with training symbols from the signals on the second frequency band to determine a change in value of in one or more channel state information (CSI) parameters, and determines one or more occupants are present within the interior cabin area of the vehicle based on the change in one or more CSI parameters.

Abstract: An occupant detection system for determining a unique position of a detected presence within an interior cabin area of a vehicle includes a plurality of signal conversion devices each including conversion circuitry. Each of the plurality of signal conversion devices are assigned to a specific position within the interior cabin area of the vehicle. The conversion circuitry for the plurality of signal conversion devices include unique sub-carrier frequency that corresponds to the unique position within the interior cabin area of the vehicle. The occupant detection system includes a wireless control module including a multi-band transceiver having a first transceiver configured to transmit and receive signals on a first frequency band and a second transceiver configured to transmit and receive signals on a second frequency band.

Abstract: A timing method over air interface, a mobile terminal device and a readable storage medium are disclosed. The method may include: receiving a broadcast message transmitted by a base station, the broadcast message including a time synchronization message; when a synchronization time source is the time synchronization message, executing a time synchronization strategy to determine whether the time precision of the base station satisfies a preset condition; if the time precision of the base station satisfies the preset condition, continuously using the time synchronization message as the synchronization time source; and, if the time precision of the base station does not satisfying the preset condition, using local maintenance time information as the synchronization time source.

Abstract: A sequence of images and a vehicle location associated with each of the images is received at a traffic light ROI management system. At least one traffic light is detected in each image. A ECS traffic light ROI is defined for each image. The ECS traffic light ROI encloses the detected traffic lights. A visual feature template is generated for each image. The visual feature template is based on the ECS traffic light ROI for the image. Each visual feature template is mapped to the vehicle location associated with the image to a HD map. The HD map is transmitted to an autonomous vehicle to enable the autonomous vehicle to identify a real-time traffic light ROI in a real-time image based on a match between a first visual feature template and real-time visual features of the real-time image at the vehicle location associated with the first visual feature template.

Abstract: Embodiments of this application provide a data processing method and apparatus, a device, and a medium.

Abstract: An event scheduling system for collecting image data related to one or more events by one or more autonomous vehicles includes a centralized scheduling system in wireless communication with one or more autonomous vehicles. Each autonomous vehicle collects the image data related to the one or more events while following a unique travel schedule. The centralized scheduling system executes instructions to determine the unique travel schedule for a specific autonomous vehicle, where the unique travel schedule directs the specific autonomous vehicle to the specific location of the filtered event to collect the image data.

Abstract: A system for predicting a door opening event of a vehicle includes an identity recognition device associated with an individual occupant profile. The system also includes one or more controllers in electronic communication with the identity recognition device, where the one or more controllers store one or more individual occupant profiles in memory of the one or more controllers that includes historical occupant behavior exhibited by one or more occupants associated with the identity recognition device. The one or more controllers execute instructions to determine a predetermined condition has occurred, where the predetermined condition indicates the vehicle is undergoing a potential engine off event. The one or more controllers determine a door opening event probability value based on at least the gear position probability value and the engine off probability value.

Abstract: The present disclosure relates to data processing method and apparatus. The method includes: acquiring local model parameters respectively corresponding to N local recognition models; acquiring M parameter fusion modes associated with a local model parameter set, and performing parameter fusion on the local model parameter set respectively according to each parameter fusion mode, so as to obtain M alternative global models; and acquiring evaluation indexes of the M alternative global models respectively in a multimedia verification data set, determining a target global model in the M alternative global models according to the evaluation indexes, and transmitting the target global model to N clients, the N clients updating parameters of a local recognition model associated with the target global model according to the target global model respectively, so as to obtain an object recognition model.

Abstract: Computer technology for transforming data in a data store (for example, a database) through a user interface (UI) in the form of a visualization diagram having human understandable visual information. A user interacts with the visualization diagram to effect desired transformations in the data of the data store.

Abstract: A system is provided for mitigating a road network congestion. The system includes a plurality of motor vehicles positioned in associated locations in a road network. Each vehicle has one or more sensors generating an input and a Telematics Control Unit (TCU) for generating at least one location signal for a location of the associated motor vehicle and at least one event signal for an event related to the associated motor vehicle, with the location signal and the event signal corresponding to a High Speed Vehicle Telemetry Data (HSVT data) based on the input from the sensors. The system further includes a computer, which communicates with a display device and the TCUs. The computer includes a processor and a computer readable medium including instructions, such that the processor is programmed to identify the congestion and determine that the congestion is a recurring or a non-recurring congestion.

Abstract: A computer is provided for a system for detecting, characterizing, and mitigating road network congestion. The system includes a plurality of motor vehicles. Each motor vehicle includes a telematics control unit (TCU) for generating one or more location signals for a location of the associated motor vehicle and one or more event signals for an event related to the associated motor vehicle. The computer includes one or more processors for receiving the location signal and/or the event signal from the TCU of the associated motor vehicles. The computer further includes a non-transitory computer readable storage medium (CRM) including instructions, such that the processor is programmed to identify a location of the road network congestion at a current time step. The processor is further programmed to track the road network congestion and predict the road network congestion at a next time step.