GEAR ADJUSTMENT METHOD AND APPARATUS FOR AUTONOMOUS VEHICLE

    公开(公告)号:WO2022105367A1

    公开(公告)日:2022-05-27

    申请号:PCT/CN2021/116747

    申请日:2021-09-06

    Abstract: Embodiments of the specification provide a gear adjustment method, apparatus, and device for an autonomous vehicle. The method comprises: obtaining a current gear of the vehicle and a current velocity of the vehicle; determining that the current velocity is higher than a minimum upshifting velocity for upshifting from the current gear; calculating, based on an upshifting relationship table of the vehicle, a target acceleration for upshifting from the current gear at the current velocity, wherein the upshifting relationship table includes at least one upshifting point for at least one gear, each upshifting point for a gear comprising a predetermined correspondence between a velocity and acceleration of the vehicle for upshifting from said gear; generating an adjustment signal based on the target acceleration, the adjustment signal being used to instruct a vehicle control module to adjust an acceleration of the vehicle to the target acceleration; and sending the adjustment signal to the vehicle control module, such that the vehicle control module performs an upshifting operation after the vehicle reaches the target acceleration.

    DATA PROCESSING METHOD, APPARATUS, AND SYSTEM, COMPUTER DEVICE, AND NON-TRANSITORY STORAGE MEDIUM

    公开(公告)号:WO2022105395A1

    公开(公告)日:2022-05-27

    申请号:PCT/CN2021/118215

    申请日:2021-09-14

    Abstract: A data processing method, apparatus, and system, a computer device, and a non-transitory storage medium, which belong to the field of computer technologies. In the data processing method, scenario data used for self-driving simulation is generated according to road test data acquired by a vehicle (101, 500) in an actual travel process, the scenario data may truly reproduce actual road conditions and noise interference, to cause a path planning model to have a more realistic simulation effect during debugging, which helps to obtain a path planning model with higher accuracy through debugging, that is, to obtain a self-driving algorithm with higher accuracy, thereby improving the intelligence of a self-driving vehicle.

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