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公开(公告)号：US20240071102A1
公开(公告)日：2024-02-29
申请号：US18092518
申请日：2023-01-03
Inventor： Bin WU , Kai ZHONG , Tongbin ZHANG , Jianzhong YANG , Zhen LU , Deguo XIA , Jizhou HUANG
CPC classification number: G06V20/588 , G06V10/26 , G06V10/42 , G06V10/44 , G06V10/751 , G06V10/806
Abstract: Provided are a lane line recognition method, an electronic device and a storage medium, relating to a technical field of artificial intelligence, in particular to technical fields of intelligent transportation, automatic driving and deep learning. The lane line recognition method includes: extracting a basic feature of an original image; recognizing at least one lane line node in the original image by using the basic feature of the original image; extracting a local feature from the basic feature of the original image by using the at least one lane line node; fusing the basic feature and the local feature; and recognizing a lane line in the original image based on a fused result.
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公开(公告)号：US20230101388A1
公开(公告)日：2023-03-30
申请号：US18076230
申请日：2022-12-06
Inventor： Bin WU , Kai ZHONG , Jianzhong YANG , Tongbin ZHANG , Zhen LU
Abstract: A method for detecting a road change is provided. The method includes: obtaining a road image comprising a road to be detected; extracting a road region in the road image as a target region, wherein the road region corresponds to where the road to be detected is located; obtaining a target geographical location of the target region; determining a reference region for the target region from pre-stored road regions based on the target geographical location; calculating a similarity between the target region and the reference region; and determining, based on the similarity, whether a passability of the road to be detected is changed. By applying the solution provided by the embodiments of the present disclosure, efficiency of road change detection can be improved.
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