公开(公告)号：US20200257281A1

公开(公告)日：2020-08-13

申请号：US16862132

申请日：2020-04-29

Applicant: TUSIMPLE, INC.

Inventor： Xing SUN ,  Wutu LIN ,  Liu LIU ,  Kai-Chieh MA ,  Zijie XUAN ,  Yufei ZHAO

IPC: G05D1/00 ,  G01C21/34 ,  B60R16/023

Abstract: A system and method for autonomous vehicle control to minimize energy cost are disclosed. A particular embodiment includes: generating a plurality of potential routings and related vehicle motion control operations for an autonomous vehicle to cause the autonomous vehicle to transit from a current position to a desired destination; generating predicted energy consumption rates for each of the potential routings and related vehicle motion control operations using a vehicle energy consumption model; scoring each of the plurality of potential routings and related vehicle motion control operations based on the corresponding predicted energy consumption rates; selecting one of the plurality of potential routings and related vehicle motion control operations having a score within an acceptable range; and outputting a vehicle motion control output representing the selected one of the plurality of potential routings and related vehicle motion control operations.

公开(公告)号：US20200241533A1

公开(公告)日：2020-07-30

申请号：US16849916

申请日：2020-04-15

Applicant: TUSIMPLE, INC.

Inventor： Wutu LIN ,  Liu LIU ,  Xing SUN ,  Kai-Chieh MA ,  Zijie XUAN ,  Yufei ZHAO

IPC: G05D1/00 ,  B60W40/09

Abstract: A system and method for using human driving patterns to manage speed control for autonomous vehicles are disclosed. A particular embodiment includes: generating data corresponding to desired human driving behaviors; training a human driving model module using a reinforcement learning process and the desired human driving behaviors; receiving a proposed vehicle speed control command; determining if the proposed vehicle speed control command conforms to the desired human driving behaviors by use of the human driving model module; and validating or modifying the proposed vehicle speed control command based on the determination.

公开(公告)号：US20240103523A1

公开(公告)日：2024-03-28

申请号：US18536635

申请日：2023-12-12

Applicant: TuSimple, Inc.

Inventor： Xing SUN ,  Wutu LIN ,  Liu LIU ,  Kai-Chieh MA ,  Zijie XUAN ,  Yufei ZHAO

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

CPC classification number: G05D1/0221 ,  G05B13/048 ,  G05D1/0088 ,  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：US20240028040A1

公开(公告)日：2024-01-25

申请号：US18477012

申请日：2023-09-28

Applicant: TUSIMPLE, INC.

Inventor： Yujia WU ,  Zijie XUAN ,  Arda KURT

IPC: G05D1/02

CPC classification number: G05D1/0221 ,  G05D1/0246 ,  G05D1/0219

Abstract: Techniques are described to determine parameters and/or values for a control model that can be used to operate an autonomous vehicle, such as an autonomous semi-trailer truck. For example, a method of obtaining a data-driven model for autonomous driving may include obtaining data associated with a first set of variables that characterize movements of an autonomous vehicle over time and commands provided to the autonomous vehicle over time, determining, using at least the first set of data, non-zero values and an associated second set of variables that describe a control model used to perform an autonomous driving operation of the autonomous vehicle, and calculating values for a feedback controller that describes a transfer function used to perform the autonomous driving operation of the autonomous vehicle driven on a road.

公开(公告)号：US20230063989A1

公开(公告)日：2023-03-02

申请号：US17983974

申请日：2022-11-09

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; determining if the task request is appropriate for 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; dispatching the task request to the deep computing vehicle control subsystem or the fast response vehicle control subsystem based on the determination; 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：US20220026912A1

公开(公告)日：2022-01-27

申请号：US16934989

申请日：2020-07-21

Applicant: TUSIMPLE, INC.

Inventor： Yujia WU ,  Zijie XUAN ,  Arda KURT

IPC: G05D1/02

Abstract: Techniques are described to determine parameters and/or values for a control model that can be used to operate an autonomous vehicle, such as an autonomous semi-trailer truck. For example, a method of obtaining a data-driven model for autonomous driving may include obtaining data associated with a first set of variables that characterize movements of an autonomous vehicle over time and commands provided to the autonomous vehicle over time, determining, using at least the first set of data, non-zero values and an associated second set of variables that describe a control model used to perform an autonomous driving operation of the autonomous vehicle, and calculating values for a feedback controller that describes a transfer function used to perform the autonomous driving operation of the autonomous vehicle driven on a road.