Instance-level Lane Segmentation
Instance-Level Lane Segmentation is a computer vision task that belongs to the category of lane detection methods, specifically distinguished by its ability to identify and segment individual lane instances in an image, assigning unique labels to each lane instance to enable precise per-lane localization and separation.
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Publications
252
Citations
31
Authors
13
Institutions
Publications per year
2017–2026
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Towards End-to-End Lane Detection: an Instance Segmentation Approach
Davy Neven, Bert De Brabandere, Stamatios Georgoulis et al. · 2018 · 70 citations · Full text
Multi-lane Detection Using Instance Segmentation and Attentive Voting
Donghoon Chang, Vinjohn V Chirakkal, Shubham Goswami et al. · 2019 · 26 citations
Yuenan Hou · arXiv (Cornell University) · 2019 · 22 citations · Full text
Flexible lane detection using CNNs
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Indraprastha Institute of Information Technology Delhi, India
1 publications · 26 citations
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Indraprastha Institute of Information Technology Delhi, India
1 publications · 26 citations
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1 publications · 20 citations
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1–5 of 31
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Indian Institute of Technology Delhi
New Delhi, India
1 h-index
4 publications
104 citations

Anhui University
Hefei, China
1 h-index
2 publications
160 citations

Indraprastha Institute of Information Technology Delhi
Delhi, India
1 h-index
4 publications
104 citations
Institute of Intelligent Machines
Hefei, China
1 h-index
3 publications
240 citations
Korea University
Seoul, South Korea
1 h-index
1 publications
26 citations
Feng Chia University
Taichung, Taiwan
1 h-index
3 publications
51 citations

Nile University
Giza, Egypt
1 h-index
4 publications
68 citations
KU Leuven
Leuven, Belgium
1 h-index
5 publications
350 citations
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Conference · 1 publications · 17 citations
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Repository · 1 publications · 22 citations
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1 publications · 80 citations
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1 publications · 16 citations
IJSE · 1 publications · 14 citations
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