Motor vehicle with turn signal-based lane localization

    公开(公告)号:US11661109B2

    公开(公告)日:2023-05-30

    申请号:US17237092

    申请日:2021-04-22

    CPC classification number: B62D15/0255 B60Q1/343

    Abstract: A method increases fidelity of a lane localization function aboard a motor vehicle by receiving input signals indicative of a relative position of the vehicle with respect to a roadway. The input signals include GPS and geocoded mapping data, and an electronic turn signal indicative of activation of the turn signal lever. Sensor-specific lane probability distributions are calculated via the lane localization function using the input signals. The various distributions are fused via the localization function to generate a host lane assignment. The host lane assignment corresponds to a lane of the roadway having a highest probability among a set of possible lane assignments. An autonomous steering control action is performed aboard the motor vehicle using an Advanced Driver Assistance System (ADAS) in response to the host lane assignment. A motor vehicle has a controller that performs the method, e.g., by executing instructions from computer-readable media.

    Autonomous vehicle localization
    2.
    发明授权

    公开(公告)号:US10466704B2

    公开(公告)日:2019-11-05

    申请号:US15630668

    申请日:2017-06-22

    Abstract: Methods and apparatus provided for determining a current position of a vehicle are disclosed. The apparatus includes an autonomous driving system for a vehicle with a positioning system configured to determine a current position of the vehicle between an original point of the vehicle and a horizon point ahead the vehicle. The positioning system is configured to receive map data containing at least one road attribute, receive multiple trajectory points which are located between the original point and the horizon point and determine a trajectory which interconnects the multiple trajectory points, determine an absolute position of the vehicle, determine a projection point from the at least one road attribute onto the trajectory, and determine the current position of the vehicle and compare the current position of the vehicle with a position of the projection point of the road attribute between the original point and the horizon point.

    MOTOR VEHICLE WITH TURN SIGNAL-BASED LANE LOCALIZATION

    公开(公告)号:US20220355864A1

    公开(公告)日:2022-11-10

    申请号:US17237092

    申请日:2021-04-22

    Abstract: A method increases fidelity of a lane localization function aboard a motor vehicle by receiving input signals indicative of a relative position of the vehicle with respect to a roadway. The input signals include GPS and geocoded mapping data, and an electronic turn signal indicative of activation of the turn signal lever. Sensor-specific lane probability distributions are calculated via the lane localization function using the input signals. The various distributions are fused via the localization function to generate a host lane assignment. The host lane assignment corresponds to a lane of the roadway having a highest probability among a set of possible lane assignments. An autonomous steering control action is performed aboard the motor vehicle using an Advanced Driver Assistance System (ADAS) in response to the host lane assignment. A motor vehicle has a controller that performs the method, e.g., by executing instructions from computer-readable media.

    Systems, methods and apparatuses for detecting elevated freeways to prevent engaging cruise features

    公开(公告)号:US10922969B2

    公开(公告)日:2021-02-16

    申请号:US15996882

    申请日:2018-06-04

    Abstract: Systems, Methods and Apparatuses are provided to control actuation of an autonomous operating mode feature of a vehicle to operate when the vehicle is on a limited access freeway. The elevated freeway detection system includes: receiving, by an evaluation module, a plurality of data in real-time about the vehicle including: mapping, GPS and radar data of the vehicle to provide at least a current vehicle location and image data to capture surroundings of the vehicle; determining, whether the vehicle is mapped on a limited access freeway by computing a matching probability location data of the vehicle to the limited access roadway based on the map data, radar data and GPS data; and sending a signal to inhibit the autonomous feature from engaging in the vehicle when the vehicle is not on the limited access freeway.

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