MULTIMEDIA SYSTEM FOR A SCALABLE INFOTAINMENT SYSTEM OF A MOTOR VEHICLE

    公开(公告)号:US20230421726A1

    公开(公告)日:2023-12-28

    申请号:US17848867

    申请日:2022-06-24

    CPC classification number: H04N7/181 B60R1/22 B60R11/04

    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.

    System and method for evaluating driver performance

    公开(公告)号:US11820385B2

    公开(公告)日:2023-11-21

    申请号:US16945065

    申请日:2020-07-31

    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.

    WEATHER DATA WITH CONNECTED VEHICLES
    198.
    发明公开

    公开(公告)号:US20230194752A1

    公开(公告)日:2023-06-22

    申请号:US17556009

    申请日:2021-12-20

    CPC classification number: G01W1/10 B60Q9/00 G07C5/008 G07C5/0808 H04W4/46

    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.

    SCAN MATCHING AND RADAR POSE ESTIMATOR FOR AN AUTONOMOUS VEHICLE BASED ON HYPER-LOCAL SUBMAPS

    公开(公告)号:US20230126333A1

    公开(公告)日:2023-04-27

    申请号:US17511942

    申请日:2021-10-27

    Abstract: A scan matching and radar pose estimator for determining a final radar pose for an autonomous vehicle includes an automated driving controller that is instructed to determine a hyper-local submap based on a predefined number of consecutive aggregated filtered data point cloud scans and associated pose estimates. The automated driving controller determines an initial estimated pose by aligning a latest aggregated filtered data point cloud scan with the most recent hyper-local submap based on an iterative closest point (ICP) alignment algorithm. The automated driving controller determines a pose graph based on the most recent hyper-local submap and neighboring radar point cloud scans, and executes a multi-view non-linear ICP algorithm to adjust initial estimated poses corresponding to the neighboring radar point cloud scans in a moving window fashion to determine a locally adjusted pose.

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