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公开(公告)号：US12253850B2
公开(公告)日：2025-03-18
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
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：US12202492B2
公开(公告)日：2025-01-21
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: Devices, systems and methods for remote safe driving of an autonomous vehicle are described. 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：US12151648B2
公开(公告)日：2024-11-26
申请号：US17255998
申请日：2019-06-20
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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公开(公告)号：US12001208B2
公开(公告)日：2024-06-04
申请号：US17184438
申请日：2021-02-24
Applicant: TUSIMPLE, INC.
Inventor： Liu Liu , Che Kun Law , Ke Quan
CPC classification number: G05D1/0088 , G01C21/3635 , G05D1/0212 , G05D1/0221 , G06Q10/00 , G06T17/05
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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5.发明授权公开(公告)号：US11983008B2
公开(公告)日：2024-05-14
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
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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Patent Agency Ranking
公开(公告)号：US11753008B2
公开(公告)日：2023-09-12
申请号：US16941190
申请日：2020-07-28
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 , B60W2520/10 , B60W2554/801 , B60W2554/804 , B60W2720/10 , 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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公开(公告)号：US10895877B2
公开(公告)日：2021-01-19
申请号：US15672207
申请日：2017-08-08
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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8.发明申请公开(公告)号：US20200371521A1
公开(公告)日：2020-11-26
申请号：US16991599
申请日：2020-08-12
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; dispatching the task request to the deep computing vehicle control subsystem or the fast response vehicle control subsystem based on the content of the task request or a context of the autonomous vehicle; 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：US12248321B2
公开(公告)日：2025-03-11
申请号：US18210721
申请日：2023-06-16
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: 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：US12242274B2
公开(公告)日：2025-03-04
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
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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