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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：US20250053171A1
公开(公告)日：2025-02-13
申请号：US18932073
申请日：2024-10-30
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：US20240353839A1
公开(公告)日：2024-10-24
申请号：US18662273
申请日：2024-05-13
Applicant: TuSimple, Inc.
Abstract: A system and method for implementing a neural network based vehicle dynamics model are disclosed. A particular embodiment includes: training a machine learning system with a training dataset corresponding to a desired autonomous vehicle simulation environment; receiving vehicle control command data and vehicle status data, the vehicle control command data not including vehicle component types or characteristics of a specific vehicle; by use of the trained machine learning system, the vehicle control command data, and vehicle status data, generating simulated vehicle dynamics data including predicted vehicle acceleration data; providing the simulated vehicle dynamics data to an autonomous vehicle simulation system implementing the autonomous vehicle simulation environment; and using data produced by the autonomous vehicle simulation system to modify the vehicle status data for a subsequent iteration.
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公开(公告)号：US20240085900A1
公开(公告)日：2024-03-14
申请号：US18510352
申请日：2023-11-15
Applicant: TUSIMPLE, INC.
Inventor： Xing SUN , Wutu LIN , Liu LIU , Kai-Chieh MA , Zijie XUAN , Yufei ZHAO
IPC: G05D1/00 , B60R16/023 , G01C21/34
CPC classification number: G05D1/0005 , B60R16/0236 , G01C21/3469 , G05D1/0088
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.
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公开(公告)号：US20230373483A1
公开(公告)日：2023-11-23
申请号：US18228574
申请日：2023-07-31
Applicant: TUSIMPLE, INC.
Inventor： Wutu LIN , Liu LIU , Zijie Xuan , Xing SUN , Kai-Chieh MA , Yufei ZHAO
CPC classification number: B60W30/16 , B60W30/143 , B60W2420/52 , B60W2720/10 , B60W2520/10 , B60W2554/801 , B60W2554/804 , B60W2754/30
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：US20220197283A1
公开(公告)日：2022-06-23
申请号：US17654224
申请日：2022-03-09
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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