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21.
公开(公告)号:US20240288868A1
公开(公告)日:2024-08-29
申请号:US18507038
申请日:2023-11-11
Applicant: TUSIMPLE, INC.
Inventor: Xing SUN , Wutu LIN , Liu LIU , Kai-Chieh MA , Zijie XUAN , Yufei ZHAO
CPC classification number: G05D1/0221 , B62D15/0255 , B62D15/026 , B62D15/0265
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.
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22.
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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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: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:US20220242371A1
公开(公告)日:2022-08-04
申请号:US17660519
申请日:2022-04-25
Applicant: TUSIMPLE, INC.
Inventor: Xiaoling HAN , Charles A. PRICE , Lindong SUN , Liu LIU , Yi WANG , Ruiliang ZHANG
Abstract: Described are devices, systems and methods for real-time remote control of vehicles with high redundancy. In some embodiments, two copies of at least one control command are received using two different wireless communication protocols, and are compared. The at least one control command is executed when the two copies are in agreement, but is rejected when the two copies differ. In other embodiments, additional wireless communication protocols may exist to provide a redundant mode of communication when one of the two different wireless communication protocols are unavailable. In yet other embodiments, redundant GPS units may be used to determine availability of any of the communication protocols, and relevant control commands may be downloaded in advance to circumvent the lack of coverage.
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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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公开(公告)号:US20240034341A1
公开(公告)日:2024-02-01
申请号:US18355678
申请日:2023-07-20
Applicant: TUSIMPLE, INC.
Inventor: Shen QU , Liu LIU , Junbo JING , Haoming SUN
CPC classification number: B60W50/06 , G07C5/02 , B60W60/00 , G05B17/02 , B60W2520/16 , B60W2520/18 , B60W2520/14 , B60W2552/15 , B60W2520/105 , B60W2520/125 , B60W2050/0056
Abstract: Vehicle dynamics related parameter(s) of an autonomous vehicle model can be calibrated so that the autonomous vehicle model can more accurately determine the driving related behaviors of the autonomous vehicle. An example method comprises obtaining, from sensor data, vehicle related parameters; performing a first determination of a slope of a road and a banking angle of the road based on a pitch angle of the vehicle and a roll angle of the vehicle, respectively; performing a second determination of a set of parameters that describe a driving-related operation of the vehicle; performing a third determination that at least one difference between at least one value from the set of parameters and a corresponding parameter from the plurality of vehicle related parameters exceeds at least one threshold value; and obtaining, in response to the third determination, a calibrated longitudinal dynamic-related parameter or a calibrated lateral dynamic-related parameter.
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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
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.
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公开(公告)号:US20220242425A1
公开(公告)日:2022-08-04
申请号:US17722110
申请日:2022-04-15
Applicant: TUSIMPLE, INC.
Inventor: Lindong SUN , Liu LIU , Xiaoling HAN , Yi WANG , Ruiliang ZHANG
Abstract: Disclosed are devices, systems and methods for a monitoring system for autonomous vehicle operation. In some embodiments, a vehicle may perform self-tests, generate a report based on the results, and transmit it to a remote monitor center over one or both of a high-speed channel for regular data transfers or a reliable channel for emergency situations. In other embodiments, the remote monitor center may determine that immediate intervention is required, and may transmit a control command with high priority, which when received by the vehicle, is implemented and overrides any local commands being processed. In yet other embodiments, the control command with high priority is selected from a small group of predetermined control commands the remote monitor center may issue.
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