公开(公告)号：US20230222916A1

公开(公告)日：2023-07-13

申请号：US18121117

申请日：2023-03-14

Applicant: TUSIMPLE, INC.

Inventor： Zhipeng YAN ,  Lingting GE ,  Pengfei CHEN ,  Panqu WANG

IPC: G06T7/73 ,  G06V20/56 ,  G06V10/44

CPC classification number: G06T7/73 ,  G06V20/56 ,  G06V10/443 ,  G06T2207/30248

Abstract: A system and method for lateral vehicle detection is disclosed. A particular embodiment can be configured to: receive lateral image data from at least one laterally-facing camera associated with an autonomous vehicle; warp the lateral image data based on a line parallel to a side of the autonomous vehicle; perform object extraction on the warped lateral image data to identify extracted objects in the warped lateral image data; and apply bounding boxes around the extracted objects.

公开(公告)号：US20230064192A1

公开(公告)日：2023-03-02

申请号：US17983129

申请日：2022-11-08

Applicant: TuSimple, Inc.

Inventor： Panqu WANG ,  Pengfei CHEN

IPC: G06V10/20 ,  G06T7/194 ,  G06K9/62 ,  G06V10/44 ,  G06V20/56 ,  G06V20/58

Abstract: A system and method for vehicle wheel detection is disclosed. A particular embodiment can be configured to: receive training image data from a training image data collection system; obtain ground truth data corresponding to the training image data; perform a training phase to train one or more classifiers for processing images of the training image data to detect vehicle wheel objects in the images of the training image data; receive operational image data from an image data collection system associated with an autonomous vehicle; and perform an operational phase including applying the trained one or more classifiers to extract vehicle wheel objects from the operational image data and produce vehicle wheel object data.

公开(公告)号：US20220215672A1

公开(公告)日：2022-07-07

申请号：US17656415

申请日：2022-03-24

Applicant: TUSIMPLE, INC.

Inventor： Lingting GE ,  Pengfei CHEN ,  Panqu WANG

IPC: G06V20/58 ,  G06N3/08 ,  G06N3/04 ,  G06T7/246 ,  G06T7/73

Abstract: A system and method for online real-time multi-object tracking is disclosed. A particular embodiment can be configured to: receive image frame data from at least one camera associated with an autonomous vehicle; generate similarity data corresponding to a similarity between object data in a previous image frame compared with object detection results from a current image frame; use the similarity data to generate data association results corresponding to a best matching between the object data in the previous image frame and the object detection results from the current image frame; cause state transitions in finite state machines for each object according to the data association results; and provide as an output object tracking output data corresponding to the states of the finite state machines for each object.

公开(公告)号：US20210056325A1

公开(公告)日：2021-02-25

申请号：US17090713

申请日：2020-11-05

Applicant: TUSIMPLE, INC.

Inventor： Panqu WANG

IPC: G06K9/00 ,  G06T7/80 ,  G06T7/62 ,  G06N20/00 ,  G06F16/29

Abstract: A system and method for three-dimensional (3D) object detection is disclosed. A particular embodiment can be configured to: receive image data from a camera associated with a vehicle, the image data representing an image frame; use a machine learning module to determine at least one pixel coordinate of a two-dimensional (2D) bounding box around an object in the image frame; use the machine learning module to determine at least one vertex of a three-dimensional (3D) bounding box around the object; obtain camera calibration information associated with the camera; and determine 3D attributes of the object using the 3D bounding box and the camera calibration information.

公开(公告)号：US20200250456A1

公开(公告)日：2020-08-06

申请号：US16855951

申请日：2020-04-22

Applicant: TUSIMPLE, INC.

Inventor： Panqu WANG ,  Pengfei CHEN

IPC: G06K9/32 ,  G06T7/194 ,  G01S17/89 ,  G06K9/00 ,  G06K9/46 ,  G06K9/62

Abstract: A system and method for vehicle wheel detection is disclosed. A particular embodiment can be configured to: receive training image data from a training image data collection system; obtain ground truth data corresponding to the training image data; perform a training phase to train one or more classifiers for processing images of the training image data to detect vehicle wheel objects in the images of the training image data; receive operational image data from an image data collection system associated with an autonomous vehicle; and perform an operational phase including applying the trained one or more classifiers to extract vehicle wheel objects from the operational image data and produce vehicle wheel object data.