公开(公告)号：US20240320987A1

公开(公告)日：2024-09-26

申请号：US18598384

申请日：2024-03-07

Applicant: TuSimple, Inc.

Inventor： Haiping WU ,  Long SHA ,  Hongyuan DU ,  Zilong GUO ,  Yihe TANG ,  Tingyu MAO ,  Pengfei CHEN ,  Panqu WANG ,  Rundong GE

IPC: G06V20/58 ,  G06T7/12 ,  G06T7/13 ,  G06T7/50 ,  G06T7/70 ,  G06V10/25

CPC classification number: G06V20/584 ,  G06T7/12 ,  G06T7/13 ,  G06T7/50 ,  G06T7/70 ,  G06V10/25 ,  G06T2207/30196 ,  G06V2201/07

Abstract: Techniques are described for performing an image processing technique on frames of a camera located on or in a vehicle. An example technique includes receiving, by a computer located in a vehicle, a first image frame from a camera located on or in the vehicle; obtaining a first combined set of information by combining a first set of information about an object detected from the first image frame and a second set of information about a set of objects detected from a second image frame, where the set of objects includes the object; obtaining, by using the first combined set of information, a second combined set of information about the object from the first image frame and from the second image frame; and causing the vehicle to perform a driving related operation in response to determining a characteristic of the object using the second combined set of information.

公开(公告)号：US20240320988A1

公开(公告)日：2024-09-26

申请号：US18599015

申请日：2024-03-07

Applicant: TuSimple, Inc.

Inventor： Long SHA ,  Lezhou FENG ,  Pengfei CHEN ,  Panqu WANG

IPC: G06V20/58 ,  G06T7/90 ,  G06V10/25 ,  G06V10/44 ,  G06V10/60 ,  G06V10/80

CPC classification number: G06V20/584 ,  G06T7/90 ,  G06V10/25 ,  G06V10/44 ,  G06V10/60 ,  G06V10/806 ,  G06T2207/20132 ,  G06V2201/07

Abstract: Techniques are described for performing image processing on images of cameras located on or in a vehicle. An example technique includes receiving a first set of images obtained by a first camera and a second set of images obtained by a second camera; determining, for each image in the first set, a first set of features of a first object; determining, for each image in the second set, a second set of features of a second object; obtaining a third set of features of an object by combining the first set of features and the second set of features; obtaining a fourth set of features of the object by including one or more features of a light signal of the object; determining characteristic(s) indicated by the light signal; and causing a vehicle to perform a driving related operation based on the characteristic(s) of the object.

公开(公告)号：US20250046075A1

公开(公告)日：2025-02-06

申请号：US18518156

申请日：2023-11-22

Applicant: TuSimple, Inc.

Inventor： Long SHA ,  Junliang ZHANG ,  Rundong GE ,  Xiangchen ZHAO ,  Fangjun ZHANG ,  Yizhe ZHAO ,  Panqu WANG

IPC: G06V10/98 ,  B60W50/02 ,  B60W50/029 ,  B60W60/00 ,  G06V10/26 ,  G06V10/28 ,  G06V10/48 ,  G06V10/75 ,  G06V20/56

Abstract: A unified framework for detecting perception anomalies in autonomous driving systems is described. The perception anomaly detection framework takes an input image from a camera in or on a vehicle and identifies anomalies as belonging to one of three categories. Lens anomalies are associated with poor sensor conditions, such as water, dirt, or overexposure. Environment anomalies are associated with unfamiliar changes to an environment. Finally, object anomalies are associated with unknown objects. After perception anomalies are detected, the results are sent downstream to cause a behavior change of the vehicle.

公开(公告)号：US20240320990A1

公开(公告)日：2024-09-26

申请号：US18598715

申请日：2024-03-07

Applicant: TuSimple, Inc.

Inventor： Rundong GE ,  Long SHA ,  Haiping WU ,  Xiangchen ZHAO ,  Fangjun ZHANG ,  Zilong GUO ,  Hongyuan DU ,  Pengfei CHEN ,  Panqu WANG

IPC: G06V20/56 ,  B60W10/20 ,  G06T7/20 ,  G06V10/54 ,  G06V10/56 ,  G06V10/75 ,  G06V20/58

CPC classification number: G06V20/588 ,  B60W10/20 ,  G06T7/20 ,  G06V10/54 ,  G06V10/56 ,  G06V10/751 ,  G06V20/584

Abstract: Techniques are described for performing an image processing on frames of a camera located on or in a vehicle. An example technique includes receiving, by a computer located in a vehicle, a first image and a second image from a camera; determining a first set of characteristics about a first set of pixels in the first image and a second set of characteristics about a second set of pixels in the second image; obtaining a motion information for each pixel in the second set by comparing the second set of characteristics with the first set of characteristics; generating, using the motion information for each pixel in the second set, a combined set of characteristics; determining attributes of a road using at least some of the combined set of characteristics; and causing the vehicle to perform a driving related operation in response to the determining the attributes of the road.