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21.发明公开公开(公告)号：US20240255948A1
公开(公告)日：2024-08-01
申请号：US18631700
申请日：2024-04-10
Applicant: TuSimple, Inc.
Inventor： Wutu LIN , Liu LIU , Xing SUN , Kai-Chieh MA , Zijie XUAN , Yufei ZHAO
CPC classification number: G05D1/0088 , B60W40/09 , B60W2720/103
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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Patent Agency Ranking
公开(公告)号：US20240168478A1
公开(公告)日：2024-05-23
申请号：US18431194
申请日：2024-02-02
Applicant: TuSimple, Inc.
Inventor： Xiaomin ZHANG , Yilun CHEN , Guangyu LI , Xing SUN , Wutu LIN , Liu LIU , Kai-Chieh MA , Zijie XUAN , Yufei ZHAO
Abstract: A prediction-based system and method for trajectory planning of autonomous vehicles is configured to: receive 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：US20230391340A1
公开(公告)日：2023-12-07
申请号：US18205944
申请日：2023-06-05
Applicant: TUSIMPLE, INC.
Inventor： Wutu LIN , Xiaodi HOU
IPC: B60W40/04 , G01S13/931 , G01C21/20 , G05D1/02 , G05D1/00 , G01S17/931
CPC classification number: B60W40/04 , G01S13/931 , G01C21/20 , G05D1/0214 , G05D1/0088 , G01S17/931 , G01S13/865
Abstract: A system and method for path planning of autonomous vehicles based on gradient are disclosed. A particular embodiment includes: executing a path planning module by use of a data processor; receiving, from a remote data source by use of the data processor, ancillary data to modify operation of the path planning module based on a context in which an autonomous vehicle is operating; generating, by use of the data processor, a trajectory comprising a plurality of waypoints; and causing the autonomous vehicle to follow a path conforming to the plurality of waypoints.
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公开(公告)号：US20230004165A1
公开(公告)日：2023-01-05
申请号：US17901736
申请日：2022-09-01
Applicant: TuSimple, Inc.
Inventor： Xing SUN , Wutu LIN , Liu LIU , Kai-Chieh MA , Zijie XUAN , Yufei ZHAO
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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公开(公告)号：US20210103283A1
公开(公告)日：2021-04-08
申请号：US17126740
申请日：2020-12-18
Applicant: TUSIMPLE, INC.
Inventor： Liu LIU , Yuwei WANG , Xing SUN , Yufei Zhao , Wutu LIN
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 areal 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：US20210089032A1
公开(公告)日：2021-03-25
申请号：US17111984
申请日：2020-12-04
Applicant: TuSimple, Inc.
Inventor： Xingdong LI , Xing SUN , Wutu LIN , Liu LIU
Abstract: A system and method for generating simulated vehicles with configured behaviors for analyzing autonomous vehicle motion planners are disclosed. A particular embodiment includes: receiving perception data from a plurality of perception data sensors; obtaining configuration instructions and data including pre-defined parameters and executables defining a specific driving behavior for each of a plurality of simulated dynamic vehicles; generating a target position and target speed for each of the plurality of simulated dynamic vehicles, the generated target positions and target speeds being based on the perception data and the configuration instructions and data; and generating a plurality of trajectories and acceleration profiles to transition each of the plurality of simulated dynamic vehicles from a current position and speed to the corresponding target position and target speed.
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