公开(公告)号：US20240001921A1

公开(公告)日：2024-01-04

申请号：US18470512

申请日：2023-09-20

Applicant: TUSIMPLE, INC.

Inventor： Yixin YANG ,  Dinghua LI

IPC: B60W30/18 ,  G05D1/00 ,  B60W10/04 ,  B60W10/18 ,  B60W10/20 ,  B60W50/00 ,  G06F3/14 ,  G05B17/02

CPC classification number: B60W30/18 ,  G05D1/0088 ,  B60W10/04 ,  B60W10/18 ,  B60W10/20 ,  B60W50/00 ,  G06F3/14 ,  G05B17/02 ,  B60W2400/00 ,  B60W2420/52 ,  B60W2420/42 ,  B60W2050/0028 ,  B60W2710/18 ,  B60W2710/20 ,  B60W2720/106 ,  B60W2520/10 ,  B60W2556/00

Abstract: Techniques for analysis of autonomous vehicle operations are described. As an example, a method of autonomous vehicle operation includes storing sensor data from one or more sensors located on the autonomous vehicle into a storage medium, performing, based on at least some of the sensor data, a simulated execution of one or more programs associated with the operations of the autonomous vehicle, generating, based on the simulated execution of the one or more programs and as part of a simulation, one or more control signal values that control a simulated driving behavior of a simulated vehicle, and providing a visual feedback of the simulated driving behavior of the simulated vehicle on a simulated road.

公开(公告)号：US20230339473A1

公开(公告)日：2023-10-26

申请号：US18343837

申请日：2023-06-29

Applicant: TUSIMPLE, INC.

Inventor： Junbo JING ,  Dinghua LI ,  Arda KURT ,  Chasen SHERMAN

IPC: B60W30/19 ,  B60W60/00 ,  G01C21/34 ,  G05D1/02

CPC classification number: B60W30/19 ,  B60W60/001 ,  G01C21/3469 ,  G05D1/0212 ,  G05D1/0231 ,  B60W2510/18 ,  B60W2510/104 ,  B60W2510/105

Abstract: Devices, systems, and methods for integrated predictive dynamic control of a vehicle powertrain in an autonomous vehicle are described. An example method for controlling a vehicle includes generating, based on performing an optimization on a blended smooth wheel domain fuel consumption map subject to a modified torque availability constraint, one or more wheel domain control commands, converting the one or more wheel domain control commands to one or more powertrain-executable engine domain control commands, and transmitting the one or more powertrain-executable engine domain control commands to a powertrain of the vehicle, the powertrain configured to operate a plurality of gears, wherein the one or more powertrain-executable engine domain control commands enable the vehicle to track a reference kinematic trajectory associated with a vehicle speed driving plan within a predetermined tolerance.

公开(公告)号：US20220242413A1

公开(公告)日：2022-08-04

申请号：US17164207

申请日：2021-02-01

Applicant: TUSIMPLE, INC.

Inventor： Junbo JING ,  Dinghua LI ,  Arda KURT ,  Chasen SHERMAN

IPC: B60W30/19 ,  B60W60/00 ,  G01C21/34

Abstract: Devices, systems, and methods for integrated predictive dynamic control of a vehicle powertrain in an autonomous vehicle are described. An example method for controlling a vehicle includes generating, based on performing an optimization on a blended smooth wheel domain fuel consumption map subject to a modified torque availability constraint, one or more wheel domain control commands, converting the one or more wheel domain control commands to one or more powertrain-executable engine domain control commands, and transmitting the one or more powertrain-executable engine domain control commands to a powertrain of the vehicle, the powertrain configured to operate a plurality of gears, wherein the one or more powertrain-executable engine domain control commands enable the vehicle to track a reference kinematic trajectory associated with a vehicle speed driving plan within a predetermined tolerance.

公开(公告)号：US20230177336A1

公开(公告)日：2023-06-08

申请号：US18162871

申请日：2023-02-01

Applicant: TuSimple, Inc. ,  Beijing Tusen Zhitu Technology Co., Ltd.

Inventor： Yuwei HU ,  Jiangming JIN ,  Lei SU ,  Dinghua LI

IPC: G06N3/08 ,  G06F12/02 ,  H03M7/30 ,  G06F17/15 ,  G06N3/063 ,  G06F17/16 ,  G06N20/10 ,  G06N3/045

CPC classification number: G06N3/08 ,  G06F12/0207 ,  H03M7/30 ,  G06F17/153 ,  G06N3/063 ,  G06F17/16 ,  G06N20/10 ,  G06N3/045

Abstract: The embodiments of this application provide a method and device for optimizing neural network. The method includes: binarizing and bit-packing input data of a convolution layer along a channel direction, and obtaining compressed input data; binarizing and bit-packing respectively each convolution kernel of the convolution layer along the channel direction, and obtaining each corresponding compressed convolution kernel; dividing the compressed input data sequentially in a convolutional computation order into blocks of the compressed input data with the same size of each compressed convolution kernel, wherein the data input to one time convolutional computation form a data block; and, taking a convolutional computation on each block of the compressed input data and each compressed convolution kernel sequentially, obtaining each convolutional result data, and obtaining multiple output data of the convolution layer according to each convolutional result data.

公开(公告)号：US20220135035A1

公开(公告)日：2022-05-05

申请号：US17576521

申请日：2022-01-14

Applicant: TUSIMPLE, INC.

Inventor： Yixin YANG ,  Dinghua LI

IPC: B60W30/18 ,  G05D1/00 ,  B60W10/04 ,  B60W10/18 ,  B60W10/20 ,  B60W50/00 ,  G06F3/14 ,  G05B17/02

Abstract: Techniques for analysis of autonomous vehicle operations are described. As an example, a method of autonomous vehicle operation includes storing sensor data from one or more sensors located on the autonomous vehicle into a storage medium, performing, based on at least some of the sensor data, a simulated execution of one or more programs associated with the operations of the autonomous vehicle, generating, based on the simulated execution of the one or more programs and as part of a simulation, one or more control signal values that control a simulated driving behavior of a simulated vehicle, and providing a visual feedback of the simulated driving behavior of the simulated vehicle on a simulated road.