公开(公告)号：US20200348678A1

公开(公告)日：2020-11-05

申请号：US16929954

申请日：2020-07-15

Applicant: TUSIMPLE, INC.

Inventor： Xing Sun ,  Wutu Lin ,  Liu Liu ,  Kai-Chieh Ma ,  Zijie Xuan ,  Yufei Zhao

IPC: G05D1/02 ,  G05D1/00 ,  G05B13/04 ,  G06N20/00

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.

公开(公告)号：US10782693B2

公开(公告)日：2020-09-22

申请号：US15805983

申请日：2017-11-07

Applicant: TuSimple, Inc.

Inventor： Xiaomin Zhang ,  Yilun Chen ,  Guangyu Li ,  Xing Sun ,  Wutu Lin ,  Liu Liu ,  Kai-Chieh Ma ,  Zijie Xuan ,  Yufei Zhao

IPC: G05D1/02 ,  G05D1/00 ,  G08G1/16

Abstract: A prediction-based system and method for trajectory planning of autonomous vehicles are disclosed. A particular embodiment is configured to: receive training data and ground truth data from a training data collection system, the training data including perception data and context data corresponding to human driving behaviors; perform a training phase for training a trajectory prediction module using the training data; receive perception data associated with a host vehicle; and perform an operational phase for extracting host vehicle feature data and proximate vehicle context data from the perception data, using the trained trajectory prediction module to generate predicted trajectories for each of one or more proximate vehicles near the host vehicle, generating a proposed trajectory for the host vehicle, determining if the proposed trajectory for the host vehicle will conflict with any of the predicted trajectories of the proximate vehicles, and modifying the proposed trajectory for the host vehicle until conflicts are eliminated.

公开(公告)号：US10768626B2

公开(公告)日：2020-09-08

申请号：US15721781

申请日：2017-09-30

Applicant: TuSimple, Inc.

Inventor： Xing Sun ,  Yufei Zhao ,  Wutu Lin ,  Zijie Xuan ,  Liu Liu ,  Kai-Chieh Ma

IPC: G05D1/02 ,  B25J9/16 ,  G05D1/00 ,  G06F9/00 ,  B60W30/00

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 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.

公开(公告)号：US20200241546A1

公开(公告)日：2020-07-30

申请号：US16848809

申请日：2020-04-14

Applicant: TUSIMPLE, INC.

Inventor： Xing SUN ,  Wutu Lin ,  Liu Liu ,  Kai-Chieh Ma ,  Zijie Xuan ,  Yufei Zhao

IPC: G05D1/02 ,  B62D15/02 ,  G05D1/00

Abstract: A data-driven prediction-based system and method for trajectory planning of autonomous vehicles are disclosed. A particular embodiment includes: generating a first suggested trajectory for an autonomous vehicle; generating predicted resulting trajectories of proximate agents using a prediction module; scoring the first suggested trajectory based on the predicted resulting trajectories of the proximate agents; generating a second suggested trajectory for the autonomous vehicle and generating corresponding predicted resulting trajectories of proximate agents, if the score of the first suggested trajectory is below a minimum acceptable threshold; and outputting a suggested trajectory for the autonomous vehicle wherein the score corresponding to the suggested trajectory is at or above the minimum acceptable threshold.

公开(公告)号：US10649458B2

公开(公告)日：2020-05-12

申请号：US15698607

申请日：2017-09-07

Applicant: TuSimple, Inc.

Inventor： Xing Sun ,  Wutu Lin ,  Liu Liu ,  Kai-Chieh Ma ,  Zijie Xuan ,  Yufei Zhao

IPC: G05D1/02 ,  G05D1/00 ,  B62D15/02

Abstract: A data-driven prediction-based system and method for trajectory planning of autonomous vehicles are disclosed. A particular embodiment includes: generating a first suggested trajectory for an autonomous vehicle; generating predicted resulting trajectories of proximate agents using a prediction module; scoring the first suggested trajectory based on the predicted resulting trajectories of the proximate agents; generating a second suggested trajectory for the autonomous vehicle and generating corresponding predicted resulting trajectories of proximate agents, if the score of the first suggested trajectory is below a minimum acceptable threshold; and outputting a suggested trajectory for the autonomous vehicle wherein the score corresponding to the suggested trajectory is at or above the minimum acceptable threshold.