Road Feature Detection
Road Feature Detection is a computational method in the field of computer vision that specifically identifies and localizes structural elements of roadways, such as lane markings, road boundaries, and traffic signs, from sensor data to support advanced driver assistance systems and autonomous navigation.
565
Publications
28.2K
Citations
1.6K
Authors
485
Institutions
Publications per year
2017–2026
191
Parents
565
End to End Learning for Self-Driving Cars
Mariusz Bojarski, Davide Testa, Daniel Dworakowski et al. · arXiv (Cornell University) · 2016 · 3.1K citations · Full text
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Wuhan University
Wuhan, China
21 h-index
82 publications
5.6K citations

Chinese Academy of Sciences
Beijing, China
14 h-index
41 publications
3.8K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
13 h-index
54 publications
4.4K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
18 publications
1.3K citations
Nanyang Technological University
Singapore, Singapore
9 h-index
22 publications
375 citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
15 publications
1.3K citations
Nanjing University of Science and Technology
Nanjing, China
8 h-index
23 publications
697 citations
K.N.Toosi University of Technology
Tehran, Iran
7 h-index
16 publications
935 citations
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18 publications · 1.5K citations
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16 publications · 580 citations
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13 publications · 1.1K citations
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17 publications · 401 citations
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10 publications · 1.5K citations
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