公开(公告)号：US20210256664A1

公开(公告)日：2021-08-19

申请号：US17308911

申请日：2021-05-05

Applicant: TUSIMPLE, INC.

Inventor： Pengfei CHEN ,  Nan YU ,  Naiyan WANG ,  Xiaodi HOU

IPC: G06T5/00 ,  B60W40/02 ,  H04N9/04

Abstract: Disclosed are devices, systems and methods for processing an image. In one aspect a method includes receiving an image from a sensor array including an x-y array of pixels, each pixel in the x-y array of pixels having a value selected from one of three primary colors, based on a corresponding x-y value in a mask pattern. The method may further include generating a preprocessed image by performing preprocessing on the image. The method may further include performing perception on the preprocessed image to determine one or more outlines of physical objects.

公开(公告)号：US20230351556A1

公开(公告)日：2023-11-02

申请号：US18344577

申请日：2023-06-29

Applicant: TUSIMPLE, INC. ,  BEIJING TUSEN WEILAI TECHNOLOGY CO., LTD.

Inventor： Pengfei CHEN ,  Nan YU ,  Naiyan WANG ,  Xiaodi HOU

IPC: G06T5/00 ,  B60W40/02 ,  H04N25/13

CPC classification number: G06T5/002 ,  G06T5/009 ,  G06T5/004 ,  B60W40/02 ,  H04N25/13 ,  B60W2420/42 ,  G06T2207/10024

Abstract: Disclosed are devices, systems and methods for processing an image. In one aspect a method includes receiving an image from a sensor array including an x-y array of pixels, each pixel in the x-y array of pixels having a value selected from one of three primary colors, based on a corresponding x-y value in a mask pattern. The method may further include generating a preprocessed image by performing preprocessing on the image. The method may further include performing perception on the preprocessed image to determine one or more outlines of physical objects.

公开(公告)号：US20200020102A1

公开(公告)日：2020-01-16

申请号：US16577753

申请日：2019-09-20

Applicant: TUSIMPLE, INC.

Inventor： Hengchen DAI ,  Naiyan WANG

IPC: G06T7/10 ,  G06F17/15 ,  G06N3/04

Abstract: The present disclosure provides a method and an apparatus for semantic segmentation of an image, capable of solving the problem in the related art associated with low speed and inefficiency in semantic segmentation of images. The method includes: receiving the image; performing semantic segmentation on the image to obtain an initial semantic segmentation result; and inputting image information containing the initial semantic segmentation result to a pre-trained convolutional neural network for semantic segmentation post-processing, so as to obtain a final semantic segmentation result. With the solutions of the present disclosure, the initial semantic segmentation result can be post-processed using the convolutional neural network, such that the speed and efficiency of the semantic segmentation of the image can be improved.