Feature-based Visual Odometry
Feature-Based Visual Odometry is a method within visual odometry that estimates camera motion by tracking and matching distinctive image features across consecutive frames, differing from direct methods through its reliance on sparse, explicitly detected feature points rather than dense pixel intensities.
137
Publications
21.7K
Citations
389
Authors
149
Institutions
Publications per year
2017–2026
90
Parents
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389
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149
Carnegie Mellon University
Pittsburgh, United States
6 h-index
14 publications
1.1K citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
8 publications
460 citations
Universidad de Zaragoza
Zaragoza, Spain
4 h-index
13 publications
48.7K citations

KTH Royal Institute of Technology
Stockholm, Sweden
4 h-index
12 publications
1.1K citations

The University of Adelaide
Adelaide, Australia
3 h-index
11 publications
3.2K citations
University of Zurich
Zurich, Switzerland
3 h-index
12 publications
5.5K citations
Wuhan University
Wuhan, China
3 h-index
10 publications
495 citations
ETH Zurich
Zurich, Switzerland
3 h-index
8 publications
223 citations
1–8 of 149
Repository · 8 publications · 252 citations
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7 publications · 522 citations
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4 publications · 105 citations
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5 publications · 412 citations
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4 publications · 123 citations
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