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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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15.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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Patent Agency Ranking
公开(公告)号：US20190163181A1
公开(公告)日：2019-05-30
申请号：US15827452
申请日：2017-11-30
Applicant: TuSimple
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 instructions and 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 instructions and 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：US20250042419A1
公开(公告)日：2025-02-06
申请号：US18921347
申请日：2024-10-21
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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公开(公告)号：US20240192089A1
公开(公告)日：2024-06-13
申请号：US18424318
申请日：2024-01-26
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: configuring a sensor noise modeling module to produce simulated sensor errors or noise data with a configured degree, extent, and timing of simulated sensor errors or noise based on a set of modifiable parameters; using the simulated sensor errors or noise data to generate simulated perception data by simulating errors related to constraints of one or more of a 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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19.发明公开公开(公告)号：US20230333554A1
公开(公告)日：2023-10-19
申请号：US18210721
申请日：2023-06-16
Applicant: TUSIMPLE, INC.
Inventor： Xingdong LI , Xing SUN , Wutu LIN , Liu LIU
CPC classification number: G05D1/0088 , G05D1/0223 , G09B9/00 , G05D1/0027 , G09B9/04 , G09B9/048 , G09B19/167 , G06F30/15 , G06F30/20 , G05D2201/0213 , G06F2111/10
Abstract: A system and method for generating simulated vehicles with configured behaviors for analyzing autonomous vehicle motion planners are disclosed. A particular embodiment includes: obtaining configuration instructions and data for each of a plurality of simulated vehicles, a specific driving behavior for each of the plurality of simulated vehicles corresponding to perception data obtained from perception data sensors; and generating a plurality of trajectories and acceleration profiles to transition each of the plurality of simulated vehicles from a current position and speed to a corresponding target position and target speed, the target position and the target speed corresponding to the specific driving behavior for each of the plurality of simulated vehicles.
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公开(公告)号：US20230161354A1
公开(公告)日：2023-05-25
申请号：US18094363
申请日：2023-01-08
Applicant: TuSimple, Inc.
CPC classification number: G05D1/0221 , G05D1/0088 , G05D1/0274 , G05D1/0285 , G06N3/00
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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