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公开(公告)号：US12164297B2
公开(公告)日：2024-12-10
申请号：US18469466
申请日：2023-09-18
Applicant: TuSimple, Inc.
Inventor： Aaron Havens , Jun Chen , Yujia Wu , Haoming Sun , Zijie Xuan , Arda Kurt
Abstract: Systems and methods for dynamic predictive control of autonomous vehicles are disclosed. In one aspect, an in-vehicle control system for a semi-truck includes one or more control mechanisms configured to control movement of the semi-truck and a processor. The system further includes computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive a desired trajectory and a vehicle status of the semi-truck, determine a dynamic model of the semi-truck based on the desired trajectory and the vehicle status, determine at least one quadratic program (QP) problem based on the dynamic model, generate at least one control command for controlling the semi-truck by solving the at least one QP problem, and provide the at least one control command to the one or more control mechanisms.
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公开(公告)号：US12122424B2
公开(公告)日：2024-10-22
申请号：US17504856
申请日：2021-10-19
Applicant: TUSIMPLE, INC.
Inventor： Xiaoling Han , Zehua Huang , Arda Kurt , Yishi Liu , Zhiqi Gong , Yue Pan , Todd B. Skinner , Yujia Wu , Jianqiu Cao , Zijie Xuan , Shuhan Yang
CPC classification number: B60W60/0015 , B60W2510/0666 , B60W2510/18 , B60W2510/20 , B60W2555/20 , B60W2556/45 , B60W2710/0677 , B60W2710/18 , B60W2710/20 , G01P5/06 , G01P5/16 , G01P5/24
Abstract: An autonomous vehicle includes a detection system for identifying the presence changes in wind incident on the autonomous vehicle, particularly wind gusts. The detection system may include one or more wind sensors, particularly those configured to detect wind incident on the vehicle from a direction that is transverse or perpendicular to the direction of motion of the autonomous vehicle. Additionally, systems may be present that correlate the detected wind gusts to changes in the behavior of the autonomous vehicle. The autonomous vehicle may react to the detected wind gusts by altering the vehicle's trajectory, by stopping the vehicle, or by communicating with a control center for further instructions.
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公开(公告)号：US12122419B2
公开(公告)日：2024-10-22
申请号：US16912444
申请日：2020-06-25
Applicant: TUSIMPLE, INC.
Inventor： Junbo Jing , Arda Kurt , Yujia Wu , Tianqu Shao , Xing Sun , Zijie Xuan , Haoming Sun , Chasen Sherman
CPC classification number: B60W60/0011 , G05D1/0022 , G05D1/0274 , H04W4/40
Abstract: Described is a two-level optimal path planning process for autonomous tractor-trailer trucks which incorporates offline planning, online planning, and utilizing online estimation and perception results for adapting a planned path to real-world changes in the driving environment. In one aspect, a method of navigating an autonomous vehicle includes determining, by an online server, a current vehicle state of the autonomous vehicle in a mapped driving area. The method includes receiving, by the online server from an offline path library, a path for the autonomous driving vehicle through the mapped driving area from the current vehicle state to a destination vehicle state, and receiving fixed and moving obstacle information. The method includes adjusting the path to generate an optimized path that avoids the fixed and moving obstacles and ends at a targeted final vehicle state, and navigating the autonomous vehicle based on the optimized path.
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公开(公告)号：US20230139551A1
公开(公告)日：2023-05-04
申请号：US18048882
申请日：2022-10-24
Applicant: TuSimple, Inc.
Inventor： Yufei Zhao , Tianqu Shao , Yujia Wu , Lei Wang
IPC: B60W30/095 , B60W60/00
Abstract: A system for implementing a lane bias maneuver to avoid a vehicle comprises an autonomous vehicle and a control device associated with the autonomous vehicle. The control device detects a presence of a vehicle from sensor data revied from sensors of the autonomous vehicle. The control device determines a lateral distance between the autonomous vehicle and the vehicle. The control device compares the lateral distance with a threshold distance. The control device determines whether to instruct the autonomous vehicle to perform a lane bias maneuver based on the comparison between the lateral distance and the threshold distance. The lane bias maneuver comprises driving the autonomous vehicle off-center in a current lane traveled by the autonomous vehicle toward an opposite direction with respect to the vehicle until the lateral distance between the autonomous vehicle and the vehicle is at least equal to the threshold distance.
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公开(公告)号：US20220227390A1
公开(公告)日：2022-07-21
申请号：US17150360
申请日：2021-01-15
Applicant: TuSimple, Inc.
Inventor： Lei Wang , Yujia Wu , Yufei Zhao , Weiyang Zhang , Haoming Sun
Abstract: A system includes an autonomous vehicle (AV) configured to travel along a road and a control device communicatively coupled to the AV. The control device determines that the AV should move from a current lane of the road to an adjacent lane of the road. The control device determines two or more candidate windows into which the AV may move in the adjacent lane. Each candidate window corresponds to a space in the adjacent lane between two vehicles traveling in the adjacent lane. The control device determines that the AV should move into a first candidate window, and, in response to this determination, causes the AV to begin moving along a trajectory leading to the first candidate window (e.g., by accelerating or decelerating).
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Patent Agency Ranking
公开(公告)号：US12227205B2
公开(公告)日：2025-02-18
申请号：US17150360
申请日：2021-01-15
Applicant: TuSimple, Inc.
Inventor： Lei Wang , Yujia Wu , Yufei Zhao , Weiyang Zhang , Haoming Sun
Abstract: A system includes an autonomous vehicle (AV) configured to travel along a road and a control device communicatively coupled to the AV. The control device determines that the AV should move from a current lane of the road to an adjacent lane of the road. The control device determines two or more candidate windows into which the AV may move in the adjacent lane. Each candidate window corresponds to a space in the adjacent lane between two vehicles traveling in the adjacent lane. The control device determines that the AV should move into a first candidate window, and, in response to this determination, causes the AV to begin moving along a trajectory leading to the first candidate window (e.g., by accelerating or decelerating).
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公开(公告)号：US20220291687A1
公开(公告)日：2022-09-15
申请号：US17805219
申请日：2022-06-02
Applicant: TuSimple, Inc.
Inventor： Aaron Havens , Jun Chen , Yujia Wu , Haoming Sun , Zijie Xuan , Arda Kurt
IPC: G05D1/00 , G06F17/11 , G05B19/4155 , G05D1/02
Abstract: Systems and methods for dynamic predictive control of autonomous vehicles are disclosed. In one aspect, an in-vehicle control system for a semi-truck includes one or more control mechanisms configured to control movement of the semi-truck and a processor. The system further includes computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive a desired trajectory and a vehicle status of the semi-truck, determine a dynamic model of the semi-truck based on the desired trajectory and the vehicle status, determine at least one quadratic program (QP) problem based on the dynamic model, generate at least one control command for controlling the semi-truck by solving the at least one QP problem, and provide the at least one control command to the one or more control mechanisms.
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公开(公告)号：US11372403B2
公开(公告)日：2022-06-28
申请号：US16181110
申请日：2018-11-05
Applicant: TuSimple, Inc.
Inventor： Aaron Havens , Jun Chen , Yujia Wu , Haoming Sun , Zijie Xuan , Arda Kurt
Abstract: Systems and methods for dynamic predictive control of autonomous vehicles are disclosed. In one aspect, an in-vehicle control system for a semi-truck includes one or more control mechanisms configured to control movement of the semi-truck and a processor. The system further includes computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive a desired trajectory and a vehicle status of the semi-truck, determine a dynamic model of the semi-truck based on the desired trajectory and the vehicle status, determine at least one quadratic program (QP) problem based on the dynamic model, generate at least one control command for controlling the semi-truck by solving the at least one QP problem, and provide the at least one control command to the one or more control mechanisms.
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公开(公告)号：US20240004386A1
公开(公告)日：2024-01-04
申请号：US18469466
申请日：2023-09-18
Applicant: TuSimple, Inc.
Inventor： Aaron Havens , Jun Chen , Yujia Wu , Haoming Sun , Zijie Xuan , Arda Kurt
IPC: G05D1/00 , G06F17/11 , G05B19/4155 , G05D1/02
CPC classification number: G05D1/0088 , G06F17/11 , G05B19/4155 , G05D1/0212 , G05B2219/42033 , G05D2201/0213 , B60W10/20
Abstract: Systems and methods for dynamic predictive control of autonomous vehicles are disclosed. In one aspect, an in-vehicle control system for a semi-truck includes one or more control mechanisms configured to control movement of the semi-truck and a processor. The system further includes computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive a desired trajectory and a vehicle status of the semi-truck, determine a dynamic model of the semi-truck based on the desired trajectory and the vehicle status, determine at least one quadratic program (QP) problem based on the dynamic model, generate at least one control command for controlling the semi-truck by solving the at least one QP problem, and provide the at least one control command to the one or more control mechanisms.
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公开(公告)号：US11809193B2
公开(公告)日：2023-11-07
申请号：US16934989
申请日：2020-07-21
Applicant: TUSIMPLE, INC.
Inventor： Yujia Wu , Zijie Xuan , Arda Kurt
IPC: G05D1/02
CPC classification number: G05D1/0221 , G05D1/0219 , G05D1/0246
Abstract: Techniques are described to determine parameters and/or values for a control model that can be used to operate an autonomous vehicle, such as an autonomous semi-trailer truck. For example, a method of obtaining a data-driven model for autonomous driving may include obtaining data associated with a first set of variables that characterize movements of an autonomous vehicle over time and commands provided to the autonomous vehicle over time, determining, using at least the first set of data, non-zero values and an associated second set of variables that describe a control model used to perform an autonomous driving operation of the autonomous vehicle, and calculating values for a feedback controller that describes a transfer function used to perform the autonomous driving operation of the autonomous vehicle driven on a road.
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