SYSTEM AND PROCESS FOR MITIGATING ROAD NETWORK CONGESTION

    公开(公告)号:US20230222901A1

    公开(公告)日:2023-07-13

    申请号:US17575017

    申请日:2022-01-13

    CPC classification number: G08G1/0145 G08G1/048 G08G1/0133 G08G1/0141

    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.

    FILTERING AND AGGREGATING DETECTION POINTS OF A RADAR POINT CLOUD FOR AN AUTONOMOUS VEHICLE

    公开(公告)号:US20230126749A1

    公开(公告)日:2023-04-27

    申请号:US17511968

    申请日:2021-10-27

    Abstract: A scan aggregator and filter for an autonomous vehicle includes a plurality of radar sensors, where each radar sensor performs a plurality of individual scans of a surrounding environment to obtain data in the form of a radar point cloud including a plurality of detection points. The scan aggregator and filter also includes an automated driving controller in electronic communication with the plurality of radar sensors. The automated driving controller is instructed to filter each of the individual scans to define a spatial region of interest and to remove the detection points of the radar point cloud that represent moving objects based on a first outlier-robust model estimation algorithm. The automated driving controller aggregates a predefined number of individual scans together based on a motion compensated aggregation technique to create an aggregated data scan and applies a plurality of density-based clustering algorithms to filter the aggregated data scan.

    Latency masking in an autonomous vehicle using edge network computing resources

    公开(公告)号:US11516636B2

    公开(公告)日:2022-11-29

    申请号:US17162452

    申请日:2021-01-29

    Abstract: A latency masking system for use in an autonomous vehicle (AV) system includes a sensors module providing sensor data from a plurality of sensors. The sensor data includes image frames provided by a vehicle camera and vehicle motion data. A wireless transceiver transmits the sensor data to a remote server associated with a network infrastructure and receives remote state information derived from the sensor data. An on-board function module receives the sensor data from the sensors module and generates local state information. A state fusion and prediction module receives the remote station information and the local state information and updates the local state information with the remote state information. The state fusion and prediction module uses checkpoints in a state history data structure to update the local state information with the remote state information.

    LATENCY MASKING IN AN AUTONOMOUS VEHICLE USING EDGE NETWORK COMPUTING RESOURCES

    公开(公告)号:US20220248194A1

    公开(公告)日:2022-08-04

    申请号:US17162452

    申请日:2021-01-29

    Abstract: A latency masking system for use in an autonomous vehicle (AV) system. The latency masking system comprises a sensors module providing sensor data from a plurality of sensors. The sensor data includes image frames provided by a vehicle camera and vehicle motion data. A wireless transceiver transmits the sensor data to a remote server associated with a network infrastructure and receives remote state information derived from the sensor data. An on-board function module receives the sensor data from the sensors module and generates local state information. A state fusion and prediction module receives the remote station information and the local state information and updates the local state information with the remote state information. The state fusion and prediction module uses checkpoints in a state history data structure to update the local state information with the remote state information.

    Traffic signal management for autonomous vehicle operation

    公开(公告)号:US11373519B2

    公开(公告)日:2022-06-28

    申请号:US16679791

    申请日:2019-11-11

    Abstract: Systems and methods to perform traffic signal management for operation of autonomous vehicles involve obtaining vehicle data from two or more vehicles at an intersection with one or more traffic lights. The vehicle data includes vehicle location, vehicle speed, and image information or images. A method includes determining at least one of three types of information about the one or more traffic lights based on the vehicle data. The three types of information include a location of the one or more traffic lights, a signal phase and timing (SPaT) of the one or more traffic lights, and a lane correspondence of the one or more traffic lights. The method also includes providing the at least one of the three types of information about the one or more traffic lights for the operation of autonomous vehicles.

    DIFFERENTIATED ACCESS CONTROL IN CAR SHARING SERVICE

    公开(公告)号:US20220067868A1

    公开(公告)日:2022-03-03

    申请号:US17008164

    申请日:2020-08-31

    Abstract: Systems and method are provided for customizing a user profile for a vehicle. In one embodiment, a method includes: customizing, at a first device, a user profile defining vehicle access for one or more users of the vehicle; providing, to a second device, an access key and the user profile through a first communication channel; providing, to the vehicle, the user profile through a second communication channel; verifying the user profile of the second device with the user profile of the vehicle; and in response to the verifying, storing, in the vehicle, the access key.

    Vehicle crowd sensing system and method

    公开(公告)号:US11087617B2

    公开(公告)日:2021-08-10

    申请号:US16199919

    申请日:2018-11-26

    Abstract: A vehicle crowd sensing system and method of selective sensing for the vehicle crowd sensing system. The method, in one implementation, involves receiving a plurality of detection reports from a first set of vehicles, each detection report including an event, a position qualifier of the event, and a severity qualifier of the event; developing an inherent error model for the event that includes a compilation of the position qualifiers of the event and the severity qualifiers of the event; and determining a resampling instruction for the event. The resampling instruction is based on an action model and the action model is at least partly a factor of the inherent error model.

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