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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3009782
Abstract: Recently, autonomous driving becomes a hot topic in research and industry area. Autonomous driving technology needs to perceive the semantic information of road scenes in the all-day and open environment. In this article, the semantic…
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Keywords:
road scene;
road;
deep learning;
road scenes ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3106377
Abstract: Automatic lane detection is a classical task in autonomous vehicles that traditional computer vision techniques can perform. However, such techniques lack reliability for achieving high accuracy while maintaining adequate time complexity in the context of…
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Keywords:
dynamic road;
framework;
segmentation;
road ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3177615
Abstract: In recent years, considerable progress has been made in semantic segmentation of images with favorable environments. However, the environmental perception of autonomous driving under adverse weather conditions is still very challenging. In particular, the low…
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Keywords:
road scenes;
segmentation;
segmentation low;
autonomous driving ... See more keywords
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Published in 2018 at "Pattern Recognition and Image Analysis"
DOI: 10.1134/s1054661818030100
Abstract: In this paper, real-time algorithms for constructing the adjacency graph and the spatial geometric relation between contrast objects of color images are proposed, as well as methods of global image analysis based on them, within…
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Keywords:
road scenes;
analysis;
image analysis;
global image ... See more keywords