公开(公告)号：US20210294333A1

公开(公告)日：2021-09-23

申请号：US16826117

申请日：2020-03-20

Applicant: TUSIMPLE, INC.

Inventor： Junbo JING ,  Arda KURT ,  Tianqu SHAO ,  Chasen SHERMAN ,  Xing SUN

IPC: G05D1/02 ,  B62D15/02

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.

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.

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 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.

公开(公告)号：US20230376037A1

公开(公告)日：2023-11-23

申请号：US18364587

申请日：2023-08-03

Applicant: TUSIMPLE, INC.

Inventor： Liu LIU ,  Yuwei WANG ,  Xing SUN ,  Yufei ZHAO ,  Wutu LIN

IPC: G05D1/00 ,  G05D1/02 ,  G06F30/15 ,  G06F30/20

CPC classification number: G05D1/0088 ,  G05D1/0287 ,  G05D1/0212 ,  G06F30/15 ,  G06F30/20 ,  G05D2201/0213 ,  G06F2111/10

Abstract: An autonomous vehicle simulation system for analyzing motion planners is disclosed. A particular embodiment includes: receiving map data corresponding to a real world driving environment; obtaining perception data and configuration data including pre-defined parameters and executables defining a specific driving behavior for each of a plurality of simulated dynamic vehicles; generating simulated perception data for each of the plurality of simulated dynamic vehicles based on the map data, the perception data, and the configuration data; receiving vehicle control messages from an autonomous vehicle control system; and simulating the operation and behavior of a real world autonomous vehicle based on the vehicle control messages received from the autonomous vehicle control system.

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.