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1.发明公开公开(公告)号：US20240343247A1
公开(公告)日：2024-10-17
申请号：US18635642
申请日：2024-04-15
Applicant: TuSimple, Inc.
CPC classification number: B60W30/02 , G05D1/81 , G06N20/00 , B60W2540/30 , B60W2710/18 , B60W2710/20 , G06N3/08
Abstract: A system and method for using human driving patterns to detect and correct abnormal driving behaviors of autonomous vehicles are disclosed. A particular embodiment includes: generating data corresponding to a normal driving behavior safe zone; receiving a compliant vehicle control command; comparing the compliant vehicle control command with the normal driving behavior safe zone; and issuing a warning alert if the compliant vehicle control command is outside of the normal driving behavior safe zone. Another embodiment includes modifying the compliant vehicle control command to produce a modified and validated vehicle control command if the compliant vehicle control command is outside of the normal driving behavior safe zone.
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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
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.
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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
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：US20220212680A1
公开(公告)日：2022-07-07
申请号：US17656412
申请日：2022-03-24
Applicant: TUSIMPLE, INC.
Inventor： Yi WANG , Lindong SUN , Liu LIU , Xiaoling HAN , Ruiliang ZHANG
Abstract: Disclosed are devices, systems and methods for remote safe driving. One exemplary method includes selecting, based on a classification of driver behavior, at least one of a set of driving actions and transmitting, to a vehicle over a secure communication channel, the at least one of the set of driving actions.
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公开(公告)号：US20210221332A1
公开(公告)日：2021-07-22
申请号：US17255998
申请日：2019-06-20
Applicant: TuSimple, Inc.
Inventor： Jaiqi LIU , Ruiliang ZHANG , Xiaoling HAN , Lindong SUN , Liu LIU , Yi WANG
IPC: B60R25/30 , B60R25/33 , B60R25/32 , B60R25/102 , G06F21/55 , G06F21/57 , G06F21/60 , H04W12/108 , H04W12/106 , H04L9/32 , H04W4/40 , H04W4/80 , H04W4/90
Abstract: Disclosed are devices, systems and methods for securing wireless communications between a remote monitor center and a vehicle by using redundancy measures to increase the robustness of the system. In some embodiments, a system may include redundant communication channels, deploy redundant hardware and software stacks to enable switching to a backup in an emergency situation, and employ hypervisors at both the remote monitor center and the vehicle to monitor hardware and software resources and perform integrity checks. In other embodiments, message digests based on a cryptographic hash function and a plurality of predetermined commands are generated at both the remote monitor center and the vehicle, and compared to ensure the continuing integrity of the wireless communication system.
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Patent Agency Ranking
公开(公告)号：US20200049592A1
公开(公告)日：2020-02-13
申请号：US16660244
申请日：2019-10-22
Applicant: TuSimple
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：US20190072966A1
公开(公告)日：2019-03-07
申请号：US15806013
申请日：2017-11-07
Applicant: TuSimple
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 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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8.发明申请公开(公告)号：US20190072960A1
公开(公告)日：2019-03-07
申请号：US15698375
申请日：2017-09-07
Applicant: TuSimple
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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公开(公告)号：US20190001977A1
公开(公告)日：2019-01-03
申请号：US15806127
申请日：2017-11-07
Applicant: TuSimple
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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10.发明申请公开(公告)号：US20180349547A1
公开(公告)日：2018-12-06
申请号：US15612976
申请日：2017-06-02
Applicant: TuSimple
Inventor： Xing SUN , Wutu LIN , Yufei ZHAO , Liu LIU
Abstract: A system and method for large scale distributed simulation for realistic multiple-agent interactive environments are disclosed. A particular embodiment includes: generating a vicinal scenario for each simulated vehicle in an iteration of a simulation, the vicinal scenarios corresponding to different locations, traffic patterns, or environmental conditions being simulated; assigning a processing task to at least one of a plurality of distributed computing devices to generate vehicle trajectories for each of a plurality of simulated vehicles of the simulation based on the vicinal scenario; and updating a state and trajectory of each of the plurality of simulated vehicles based on processed data received from the plurality of distributed computing devices.
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