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公开(公告)号：US20220026224A1
公开(公告)日：2022-01-27
申请号：US16987175
申请日：2020-08-06
Applicant: TuSimple, Inc.
Inventor： Yufei Zhao , Fan Mo , Xuren Zhou
Abstract: Systems and methods for autonomous lane level navigation are disclosed. In one aspect, a control system for an autonomous vehicle includes a processor and a computer-readable memory configured to cause the processor to receive a partial high-definition (HD) map that defines a plurality of lane segments that together represent one or more lanes of a roadway, the partial HD map including at least a current lane segment. The processor is also configured to generate auxiliary global information for each of the lane segments in the partial HD map. The processor is further configured to generate a subgraph including a plurality of possible routes between the current lane segment and the destination lane segment using the partial HD map and the auxiliary global information, select one of the possible routes for navigation based on the auxiliary global information, and generate lane level navigation information based on the selected route.
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公开(公告)号：US10830669B2
公开(公告)日：2020-11-10
申请号：US16660244
申请日：2019-10-22
Applicant: TuSimple, Inc.
Inventor： Xing Sun , Wutu Lin , Yufei Zhao , Liu Liu
Abstract: A system and method for real world autonomous vehicle perception simulation are disclosed. A particular embodiment includes: receiving perception data from a plurality of sensors of an autonomous vehicle; configuring the perception simulation operation based on a comparison of the perception data against ground truth data; generating simulated perception data by simulating errors related to the physical constraints of one or more of the plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors; and providing the simulated perception data to a motion planning system for the autonomous vehicle.
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公开(公告)号：US10752246B2
公开(公告)日：2020-08-25
申请号：US15806127
申请日：2017-11-07
Applicant: TuSimple, Inc.
Inventor： Wutu Lin , Liu Liu , Zijie Xuan , Xing Sun , Kai-Chieh Ma , Yufei Zhao
Abstract: A system and method for adaptive cruise control with proximate vehicle detection are disclosed. The example embodiment can be configured for: receiving input object data from a subsystem of a host vehicle, the input object data including distance data and velocity data relative to detected target vehicles; detecting the presence of any target vehicles within a sensitive zone in front of the host vehicle, to the left of the host vehicle, and to the right of the host vehicle; determining a relative speed and a separation distance between each of the detected target vehicles relative to the host vehicle; and generating a velocity command to adjust a speed of the host vehicle based on the relative speeds and separation distances between the host vehicle and the detected target vehicles to maintain a safe separation between the host vehicle and the target vehicles.
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公开(公告)号：US12242271B2
公开(公告)日：2025-03-04
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
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.
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公开(公告)号：US12227205B2
公开(公告)日：2025-02-18
申请号：US17150360
申请日：2021-01-15
Applicant: TuSimple, Inc.
Inventor： Lei Wang , Yujia Wu , Yufei Zhao , Weiyang Zhang , Haoming Sun
Abstract: A system includes an autonomous vehicle (AV) configured to travel along a road and a control device communicatively coupled to the AV. The control device determines that the AV should move from a current lane of the road to an adjacent lane of the road. The control device determines two or more candidate windows into which the AV may move in the adjacent lane. Each candidate window corresponds to a space in the adjacent lane between two vehicles traveling in the adjacent lane. The control device determines that the AV should move into a first candidate window, and, in response to this determination, causes the AV to begin moving along a trajectory leading to the first candidate window (e.g., by accelerating or decelerating).
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Patent Agency Ranking
公开(公告)号：US12164296B2
公开(公告)日：2024-12-10
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 , G06F30/15 , G06F30/20 , G06F111/10
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.
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公开(公告)号：US11892846B2
公开(公告)日：2024-02-06
申请号：US17006345
申请日：2020-08-28
Applicant: TuSimple, Inc.
Inventor： Xiaomin Zhang , Yilun Chen , Guangyu Li , Xing Sun , Wutu Lin , Liu Liu , Kai-Chieh Ma , Zijie Xuan , Yufei Zhao
CPC classification number: G05D1/0212 , G05D1/0088 , G08G1/161 , G08G1/166 , G08G1/167 , G05D2201/0213
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, generating a proposed trajectory for the host vehicle, using the trained trajectory prediction module to generate predicted trajectories for each of one or more proximate vehicles near the host vehicle based on the proposed host vehicle trajectory, 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.
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公开(公告)号：US20230138325A1
公开(公告)日：2023-05-04
申请号：US18048999
申请日：2022-10-24
Applicant: TuSimple, Inc.
Inventor： Hunter Scott Willoughby , Dishi Li , Yufei Zhao
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 the railroad crossing is closed from the sensor data. The control device determines one or more re-routing options from map data. The control device determines whether at least one re-routing option reaches a predetermined destination of the autonomous vehicle. In response to determining that the at least one re-routing option reaches the predetermined destination, the control device selects a particular re-routing option based at least on determining that the autonomous vehicle is able to travel according to the particular re-routing option autonomously. The control device instructs the autonomous vehicle to re-route according to the particular re-routing option.
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公开(公告)号：US11500387B2
公开(公告)日：2022-11-15
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
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.
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30.发明授权公开(公告)号：US11294375B2
公开(公告)日：2022-04-05
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
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.
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