Indirect Visual Slam
Indirect Visual SLAM is a category of visual simultaneous localization and mapping approach that estimates camera motion and reconstructs the environment by extracting and tracking sparse image features rather than directly using raw pixel intensities.
8
Publications
426
Citations
28
Authors
14
Institutions
Publications per year
2017–2026
8
Parents
8
An Overview on Visual SLAM: From Tradition to Semantic
Weifeng Chen, Guangtao Shang, Aihong Ji et al. · Remote Sensing · 2022 · 202 citations · Full text
Learnable Line Segment Descriptor for Visual SLAM
Alexander Vakhitov, Victor Lempitsky · IEEE Access · 2019 · 54 citations · Full text
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14

Stevens Institute of Technology
Hoboken, United States
1 h-index
2 publications
36 citations

The University of Western Australia
Perth, Australia
1 h-index
1 publications
49 citations

University of Alberta
Edmonton, Canada
1 h-index
1 publications
49 citations

Chongqing University
Chongqing, China
1 h-index
5 publications
115 citations
Samsung (Russia)
Moscow, Russia
1 h-index
2 publications
108 citations

Shaanxi Normal University
Xi'an, China
1 h-index
1 publications
49 citations

Hunan University
Changsha, China
1 h-index
4 publications
196 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
1 h-index
1 publications
202 citations
1–8 of 14
1 publications · 49 citations
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Conference · 1 publications · 31 citations
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1 publications · 54 citations
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1 publications · 11 citations
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1 publications · 202 citations
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