LANE BIAS MANEUVER FOR AUTONOMOUS VEHICLES TO NEGOTIATE A CURVED ROAD

    公开(公告)号:US20230136434A1

    公开(公告)日:2023-05-04

    申请号:US18048890

    申请日:2022-10-24

    Applicant: TuSimple, Inc.

    Abstract: A system for implementing a lane bias maneuver to negotiate a curved road comprises an autonomous vehicle and a control device. The control device determines that the autonomous vehicle is approaching a curved road. The control device determines a road radius of the curved road. The control device calculates a first lane bias adjustment amount associated with a road curvature of the curved road based on the road radius. The control device calculates a second lane bias adjustment amount associated with a trailer angle between a trailer and a semi-truck tractor unit of the autonomous vehicle. The control device calculates a total lane bias adjustment amount by combining the first and second lane bias adjustment amounts. The control device instructs the autonomous vehicle to perform a lane bias maneuver that comprises driving the autonomous vehicle off-center in a curved lane based on the total lane bias adjustment amount.

    Optimal path library for local path planning of an autonomous vehicle

    公开(公告)号:US11619943B2

    公开(公告)日:2023-04-04

    申请号:US16826117

    申请日:2020-03-20

    Applicant: TUSIMPLE, INC.

    Abstract: Methods, systems and apparatus for autonomous vehicle path planning and path navigation are described. One example system includes an offline server configured to generate a library of optimal paths for navigating a geographic area, wherein the geographic area is represented as a grid node map and an orientation grid bin map and wherein the optimal paths correspond to paths between pairs of grid node pairs in the grid node map based on optimization criteria, a storage device on the autonomous vehicle for storing the library of optimal paths, and an online server located on the autonomous vehicle configured to access information from the library of optimal paths from the storage device based on a current position and a current heading of the autonomous vehicle, and navigating the autonomous vehicle through the geographic area based on the information.

    Optimal path library for local path planning of an autonomous vehicle

    公开(公告)号:US12174634B2

    公开(公告)日:2024-12-24

    申请号:US18186137

    申请日:2023-03-17

    Applicant: TUSIMPLE, INC.

    Abstract: Methods, systems and apparatus for autonomous vehicle path planning and path navigation are described. One example system includes an offline server configured to generate a library of optimal paths for navigating a geographic area, wherein the geographic area is represented as a grid node map and an orientation grid bin map and wherein the optimal paths correspond to paths between pairs of grid node pairs in the grid node map based on optimization criteria, a storage device on the autonomous vehicle for storing the library of optimal paths, and an online server located on the autonomous vehicle configured to access information from the library of optimal paths from the storage device based on a current position and a current heading of the autonomous vehicle, and navigating the autonomous vehicle through the geographic area based on the information.

    Two-level path planning for autonomous vehicles

    公开(公告)号:US12122419B2

    公开(公告)日:2024-10-22

    申请号:US16912444

    申请日:2020-06-25

    Applicant: TUSIMPLE, INC.

    CPC classification number: B60W60/0011 G05D1/0022 G05D1/0274 H04W4/40

    Abstract: Described is a two-level optimal path planning process for autonomous tractor-trailer trucks which incorporates offline planning, online planning, and utilizing online estimation and perception results for adapting a planned path to real-world changes in the driving environment. In one aspect, a method of navigating an autonomous vehicle includes determining, by an online server, a current vehicle state of the autonomous vehicle in a mapped driving area. The method includes receiving, by the online server from an offline path library, a path for the autonomous driving vehicle through the mapped driving area from the current vehicle state to a destination vehicle state, and receiving fixed and moving obstacle information. The method includes adjusting the path to generate an optimized path that avoids the fixed and moving obstacles and ends at a targeted final vehicle state, and navigating the autonomous vehicle based on the optimized path.

    OPTIMAL PATH LIBRARY FOR LOCAL PATH PLANNING OF AN AUTONOMOUS VEHICLE

    公开(公告)号:US20230244237A1

    公开(公告)日:2023-08-03

    申请号:US18186137

    申请日:2023-03-17

    Applicant: TUSIMPLE, INC.

    Abstract: Methods, systems and apparatus for autonomous vehicle path planning and path navigation are described. One example system includes an offline server configured to generate a library of optimal paths for navigating a geographic area, wherein the geographic area is represented as a grid node map and an orientation grid bin map and wherein the optimal paths correspond to paths between pairs of grid node pairs in the grid node map based on optimization criteria, a storage device on the autonomous vehicle for storing the library of optimal paths, and an online server located on the autonomous vehicle configured to access information from the library of optimal paths from the storage device based on a current position and a current heading of the autonomous vehicle, and navigating the autonomous vehicle through the geographic area based on the information.

    LANE BIAS MANEUVER FOR AUTONOMOUS VEHICLES TO AVOID AN INTRUDING VEHICLE

    公开(公告)号:US20230139551A1

    公开(公告)日:2023-05-04

    申请号:US18048882

    申请日:2022-10-24

    Applicant: TuSimple, Inc.

    Abstract: A system for implementing a lane bias maneuver to avoid a vehicle comprises an autonomous vehicle and a control device associated with the autonomous vehicle. The control device detects a presence of a vehicle from sensor data revied from sensors of the autonomous vehicle. The control device determines a lateral distance between the autonomous vehicle and the vehicle. The control device compares the lateral distance with a threshold distance. The control device determines whether to instruct the autonomous vehicle to perform a lane bias maneuver based on the comparison between the lateral distance and the threshold distance. The lane bias maneuver comprises driving the autonomous vehicle off-center in a current lane traveled by the autonomous vehicle toward an opposite direction with respect to the vehicle until the lateral distance between the autonomous vehicle and the vehicle is at least equal to the threshold distance.

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