公开(公告)号：US11874130B2

公开(公告)日：2024-01-16

申请号：US18158974

申请日：2023-01-24

Applicant: TuSimple, Inc.

Inventor： Siyuan Liu ,  Mingdong Wang ,  Xiaodi Hou

IPC: G01C21/36 ,  G06V20/56 ,  G01S17/89 ,  G01S17/86

CPC classification number: G01C21/3658 ,  G06V20/588 ,  G01S17/86 ,  G01S17/89 ,  G06V2201/10

Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth associated with lane markings expressed in god's view; receiving features from at least one of a hit-map image and a fitted lane marking, wherein the hit-map image includes a classification of pixels that hit a lane marking, and the fitted lane marking includes pixels optimized based on the hit-map image; and training a confidence module based on the features and the ground truth, the confidence module configured to determine on-line whether a fitted lane marking is reasonable, using parameters that express a lane marking in an arc.

公开(公告)号：US11715277B2

公开(公告)日：2023-08-01

申请号：US16909950

申请日：2020-06-23

Applicant: TUSIMPLE, INC.

Inventor： Siyuan Liu ,  Lingting Ge ,  Chenzhe Qian ,  Zehua Huang ,  Xiaodi Hou

IPC: G06K9/00 ,  G06V10/25 ,  G06T7/11 ,  G06T7/70 ,  G06T11/20 ,  B60W60/00 ,  G06V20/58 ,  G06V10/82

CPC classification number: G06V10/25 ,  B60W60/0025 ,  G06T7/11 ,  G06T7/70 ,  G06T11/20 ,  G06V10/82 ,  G06V20/58 ,  G06V20/584 ,  B60W2420/42 ,  B60W2554/00 ,  G06T2207/20132 ,  G06T2207/30236 ,  G06T2207/30252 ,  G06T2210/12

Abstract: Image processing techniques are described to obtain an image from a camera located on a vehicle while the vehicle is being driven, cropping a portion of the obtained image corresponding to a region of interest, detecting an object in the cropped portion, adding a bounding box around the detected object, determining position(s) of reference point(s) on the bounding box, and determining a location of the detected object in a spatial region where the vehicle is being driven based on the determined one or more positions of the second set of one or more reference points on the bounding box.

公开(公告)号：US11557128B2

公开(公告)日：2023-01-17

申请号：US16752637

申请日：2020-01-25

Applicant: TuSimple, Inc.

Inventor： Chenyang Li ,  Xiaodi Hou ,  Siyuan Liu

IPC: G06V20/58 ,  G01S17/58 ,  G01S17/66 ,  G01S17/08 ,  G01S17/88 ,  G01S7/48 ,  G01S17/86 ,  G01S17/931 ,  G08G1/16

Abstract: A vehicle position and velocity estimation based on camera and LIDAR data are disclosed. A particular embodiment includes: receiving input object data from a subsystem of an autonomous vehicle, the input object data including image data from an image generating device and distance data from a distance measuring device; determining a two-dimensional (2D) position of a proximate object near the autonomous vehicle using the image data received from the image generating device; tracking a three-dimensional (3D) position of the proximate object using the distance data received from the distance measuring device over a plurality of cycles and generating tracking data; determining a 3D position of the proximate object using the 2D position, the distance data received from the distance measuring device, and the tracking data; determining a velocity of the proximate object using the 3D position and the tracking data; and outputting the 3D position and velocity of the proximate object relative to the autonomous vehicle.

公开(公告)号：US10942771B2

公开(公告)日：2021-03-09

申请号：US16275984

申请日：2019-02-14

Applicant: TuSimple, Inc.

Inventor： Yifan Gong ,  Siyuan Liu ,  Dinghua Li ,  Jiangming Jin ,  Lei Su ,  YiXin Yang ,  Wei Liu ,  Zehua Huang

IPC: G06F9/48 ,  G06F16/901 ,  G06F9/54

Abstract: The present disclosure provides a method, an apparatus and a system for multi-module scheduling, capable of solving at least one of the problems associated with the multi-module scheduling technique in the related art, i.e., inconsistency in data inputted to a computing module, and a significant delay or low throughput in data transmission between computing modules. The method includes: reading, by a master process, a pre-stored configuration file storing a directed computation graph; initializing, by the master process, states of the nodes and connecting edges in a current computing period; determining a node to be called based on the computation direction of the directed computation graph and the states of the nodes, the node to be called comprising a node having all of its input edges in a complete state; transmitting, to the computing module in the slave process corresponding to the node to be called, a call request of Remote Process Call (RPC) to execute the computing module; updating the state of the node and the state of each output edge of the node upon receiving a response to the call request; and proceeding with a next computing period after determining that the states of all the nodes in the directed computation graph have been updated.