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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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13.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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公开(公告)号：US20220317680A1
公开(公告)日：2022-10-06
申请号：US17807709
申请日：2022-06-17
Applicant: TUSIMPLE, INC.
Inventor： Xing SUN , Wutu LIN , Liu LIU , Kai-Chieh MA , Zijie XUAN , Yufei ZHAO
IPC: G05D1/00 , B60R16/023 , G01C21/34
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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Patent Agency Ranking
公开(公告)号：US20210309210A1
公开(公告)日：2021-10-07
申请号：US17350297
申请日：2021-06-17
Applicant: TuSimple, Inc.
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 proposed vehicle control command; comparing the proposed vehicle control command with the normal driving behavior safe zone; and issuing a warning alert if the proposed vehicle control command is outside of the normal driving behavior safe zone. Another embodiment includes modifying the proposed vehicle control command to produce a modified and validated vehicle control command if the proposed vehicle control command is outside of the normal driving behavior safe zone.
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公开(公告)号：US20210181744A1
公开(公告)日：2021-06-17
申请号：US17184438
申请日：2021-02-24
Applicant: TUSIMPLE, INC.
Inventor： Liu LIU , Che Kun Law , Ke Quan
Abstract: The system and method make it feasible to develop an autonomous vehicle control system for complex vehicles, such as for cargo trucks and other large payload vehicles. The method and system commence by first obtaining 3-dimensional data for one or more sections of roadway. Once the 3-dimensional roadway data is obtained, that data is used to run computer simulations of a computer model of a specific vehicle being controlled by a generic vehicle control algorithm or system. The generic vehicle control algorithm is optimized by running the simulations utilizing the 3-dimensional roadway data until an acceptable performance result is achieved. Once an acceptable simulation is executed using the generic vehicle control algorithm, the control algorithm/system is used to run one or more real-world driving tests on the roadway for which the 3-dimensional data was obtained. Finally, the computer model for the vehicle is modified.
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公开(公告)号：US20210132620A1
公开(公告)日：2021-05-06
申请号：US17147836
申请日：2021-01-13
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：US20210080353A1
公开(公告)日：2021-03-18
申请号：US17093172
申请日：2020-11-09
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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公开(公告)号：US20250042363A1
公开(公告)日：2025-02-06
申请号：US18922918
申请日：2024-10-22
Applicant: TuSimple, Inc.
Inventor： Jiaqi LIU , Ruiliang ZHANG , Xiaoling HAN , Lindong SUN , Liu LIU , Yi WANG
IPC: B60R25/30 , B60R25/102 , B60R25/32 , B60R25/33 , G06F21/55 , G06F21/57 , G06F21/60 , H04L9/32 , H04W4/40 , H04W4/80 , H04W4/90 , H04W12/106 , H04W12/108
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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