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公开(公告)号:US20230144209A1
公开(公告)日:2023-05-11
申请号:US18064016
申请日:2022-12-09
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Xinyue CAI , Hang XU , Wei ZHANG , Zhen YANG , Zhenguo LI
CPC classification number: G06V20/588 , G06T5/20 , G06T7/11 , G06V10/771 , G06V10/803 , G06V10/82 , G06T2207/30256
Abstract: This disclosure discloses lane line detection methods and devices. In an implementation, features extracted by different layers of the neural network are fused to obtain a fused second feature map, so that the second feature map obtained through fusion processing has a plurality of layers of features. The fused second feature map has a related feature of a low-layer receptive field and a related feature of a high-layer receptive field. Afterwards, an output predicted lane line set is divided into groups, where each predicted lane line in each group has an optimal prediction interval.
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公开(公告)号:US20230047094A1
公开(公告)日:2023-02-16
申请号:US17975922
申请日:2022-10-28
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Xinhai ZHAO , Zhen YANG , Wei ZHANG
Abstract: This application provides an image processing method, a network training method, and a related device, and relates to image processing technologies in the artificial intelligence field. The method includes: inputting a first image including a first vehicle into an image processing network to obtain a first result output by the image processing network, where the first result includes location information of a two-dimensional 2D bounding frame of the first vehicle, coordinates of a wheel of the first vehicle, and a first angle of the first vehicle, and the first angle of the first vehicle indicates an included angle between a side line of the first vehicle and a first axis of the first image; and generating location information of a three-dimensional 3D outer bounding box of the first vehicle based on the first result.
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公开(公告)号:US20230215191A1
公开(公告)日:2023-07-06
申请号:US18180274
申请日:2023-03-08
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
CPC classification number: G06V20/588 , G06V10/22 , G06T7/73 , G06V10/7715 , G06T2207/30256
Abstract: A method comprises: first, obtaining a to-be-recognized lane line image; then determining, based on the lane line image, a candidate pixel used to recognize a lane line region, to obtain a candidate point set, where the lane line region is a region of a location of a lane line in the lane line image and a surrounding region of the location of the lane line; then selecting a target pixel from the candidate point set, and obtaining at least three location points associated with the target pixel in a neighborhood, where the at least three location points are on one lane line; and finally, performing extension by using the target pixel as a start point and based on the at least three location points associated with the target pixel, to obtain a lane line point set corresponding to the target pixel.
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