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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
申请人: TUSIMPLE, INC.
发明人: Junbo Jing , Arda Kurt , Yujia Wu , Tianqu Shao , Xing Sun , Zijie Xuan , Haoming Sun , Chasen Sherman
CPC分类号: B60W60/0011 , G05D1/0022 , G05D1/0274 , H04W4/40
摘要: 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:US20220227390A1
公开(公告)日:2022-07-21
申请号:US17150360
申请日:2021-01-15
申请人: TuSimple, Inc.
发明人: Lei Wang , Yujia Wu , Yufei Zhao , Weiyang Zhang , Haoming Sun
摘要: 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
申请人: TuSimple, Inc.
发明人: Aaron Havens , Jun Chen , Yujia Wu , Haoming Sun , Zijie Xuan , Arda Kurt
IPC分类号: G05D1/00 , G06F17/11 , G05B19/4155 , G05D1/02
摘要: 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
申请人: TuSimple, Inc.
发明人: Aaron Havens , Jun Chen , Yujia Wu , Haoming Sun , Zijie Xuan , Arda Kurt
摘要: 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:US11999348B2
公开(公告)日:2024-06-04
申请号:US16773541
申请日:2020-01-27
申请人: TUSIMPLE, INC.
发明人: Junbo Jing , Arda Kurt , Chasen Sherman , Tianqu Shao , Haoming Sun
CPC分类号: B60W30/18136 , B60W10/06 , B60W10/18 , B60W60/0025 , F02D9/06 , B60W2510/0657 , B60W2510/10 , B60W2520/10 , B60W2520/28 , B60W2710/06 , B60W2710/18 , F02D2200/1006
摘要: Methods, systems, and devices related to a method of controlling an autonomous vehicle, in particular, an autonomous diesel-engine truck are disclosed. In one example aspect, the method includes determining an available engine brake torque generation mechanism for reducing a current speed of the autonomous vehicle to a lower speed and selecting a brake mode corresponding to the engine brake torque availability. In case a rate of speed reduction is equal to or smaller than a threshold, the brake mode includes only an engine brake in which engine exhaust valve opening is adjusted for reducing the current speed. The threshold determined in part based on the available engine brake torque, gear position of the transmission, and the online estimated vehicle longitudinal dynamic model. In case the rate of speed reduction is greater than the threshold, the brake mode incudes a combination of the engine brake and the foundation brake.
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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
申请人: TuSimple, Inc.
发明人: Aaron Havens , Jun Chen , Yujia Wu , Haoming Sun , Zijie Xuan , Arda Kurt
IPC分类号: G05D1/00 , G06F17/11 , G05B19/4155 , G05D1/02
CPC分类号: G05D1/0088 , G06F17/11 , G05B19/4155 , G05D1/0212 , G05B2219/42033 , G05D2201/0213 , B60W10/20
摘要: 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:US11809185B2
公开(公告)日:2023-11-07
申请号:US17805219
申请日:2022-06-02
申请人: TuSimple, Inc.
发明人: Aaron Havens , Jun Chen , Yujia Wu , Haoming Sun , Zijie Xuan , Arda Kurt
CPC分类号: G05D1/0088 , G05B19/4155 , G05D1/0212 , G06F17/11 , B60W10/18 , B60W10/20 , B60W50/00 , B60W2050/0011 , B60W2050/0028 , B60W2050/0083 , B60W2300/145 , B60W2400/00 , B60W2520/22 , B60W2530/10 , B60W2710/18 , B60W2710/20 , G05B2219/42033 , G05D2201/0213
摘要: 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:US20230136434A1
公开(公告)日:2023-05-04
申请号:US18048890
申请日:2022-10-24
申请人: TuSimple, Inc.
发明人: Yufei Zhao , Tianqu Shao , Yujia Wu , Lei Wang , Haoming Sun
IPC分类号: B60W30/18 , B60W40/072 , B60W40/04 , B60W60/00
摘要: A system for implementing a lane bias maneuver to negotiate a curved road comprises an autonomous vehicle and a control device. The control device determines that the autonomous vehicle is approaching a curved road. The control device determines a road radius of the curved road. The control device calculates a first lane bias adjustment amount associated with a road curvature of the curved road based on the road radius. The control device calculates a second lane bias adjustment amount associated with a trailer angle between a trailer and a semi-truck tractor unit of the autonomous vehicle. The control device calculates a total lane bias adjustment amount by combining the first and second lane bias adjustment amounts. The control device instructs the autonomous vehicle to perform a lane bias maneuver that comprises driving the autonomous vehicle off-center in a curved lane based on the total lane bias adjustment amount.
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