SYSTEM AND METHOD FOR PROVIDING MULTIPLE AGENTS FOR DECISION MAKING, TRAJECTORY PLANNING, AND CONTROL FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20200371521A1

    公开(公告)日:2020-11-26

    申请号:US16991599

    申请日:2020-08-12

    Applicant: TUSIMPLE, INC.

    Abstract: A system and method for providing multiple agents for decision making, trajectory planning, and control for autonomous vehicles are disclosed. A particular embodiment includes: partitioning a multiple agent autonomous vehicle control module for an autonomous vehicle into a plurality of subsystem agents, the plurality of subsystem agents including a deep computing vehicle control subsystem and a fast response vehicle control subsystem; receiving a task request from a vehicle subsystem; dispatching the task request to the deep computing vehicle control subsystem or the fast response vehicle control subsystem based on the content of the task request or a context of the autonomous vehicle; causing execution of the deep computing vehicle control subsystem or the fast response vehicle control subsystem by use of a data processor to produce a vehicle control output; and providing the vehicle control output to a vehicle control subsystem of the autonomous vehicle.

    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.

    Autonomous Vehicle Railroad Crossing

    公开(公告)号:US20230134247A1

    公开(公告)日:2023-05-04

    申请号:US18048917

    申请日:2022-10-24

    Applicant: TuSimple, Inc.

    Abstract: A control device associated with an autonomous vehicle receives sensor data and detects that the autonomous vehicle is approaching a railroad crossing based on the sensor data. The control device determines a target lane to travel while crossing the railroad. The target lane is a lane that has available space with at least a length of the autonomous vehicle on the other side of the railroad as opposed to a side of the railroad where the autonomous vehicle is currently traveling. The control device instructs the autonomous vehicle to travel on the target lane. The control device determines that no train is approaching the railroad crossing. The control device instructs the autonomous vehicle to cross the railroad if the target lane still provides available space with at least the length of the autonomous vehicle on the other side of the railroad.

    Autonomous Vehicle Navigation in Response to a Stopped Vehicle at a Railroad Crossing

    公开(公告)号:US20230134068A1

    公开(公告)日:2023-05-04

    申请号:US18049031

    申请日:2022-10-24

    Applicant: TuSimple, Inc.

    Abstract: A control device associated with an autonomous vehicle receives sensor data and detects that the autonomous vehicle is approaching a railroad crossing based on the sensor data. The control device determines that no train is approaching the railroad crossing from the sensor data. The control device detects an indication of a stopped vehicle in front of the autonomous vehicle and behind the railroad crossing. The control device determines whether the stopped vehicle is associated with a mandatory stop rule. The mandatory stop rule indicates vehicles carrying hazardous materials have to stop behind the railroad crossing even when no train is approaching or traveling through the railroad crossing. If it is determined that the stopped vehicle is associated with the mandatory stop rule, the control device waits behind the stopped vehicle until the stopped vehicle crosses the railroad crossing and instructs the autonomous vehicle to cross the railroad.

    System and method for real world autonomous vehicle trajectory simulation

    公开(公告)号:US11435748B2

    公开(公告)日:2022-09-06

    申请号:US16929954

    申请日:2020-07-15

    Applicant: TUSIMPLE, INC.

    Abstract: A system and method for real world autonomous vehicle trajectory simulation may include: receiving training data from a data collection system; obtaining ground truth data corresponding to the training data; performing a training phase to train a plurality of trajectory prediction models; and performing a simulation or operational phase to generate a vicinal scenario for each simulated vehicle in an iteration of a simulation. Vicinal scenarios may correspond to different locations, traffic patterns, or environmental conditions being simulated. Vehicle intention data corresponding to a data representation of various types of simulated vehicle or driver intentions.

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