Underwater Visual Slam
Underwater Visual SLAM is a simultaneous localization and mapping framework that integrates visual sensing data from underwater environments to concurrently estimate the trajectory of a submerged vehicle and reconstruct its surrounding scene geometry, distinguished by its adaptation to the challenging optical properties and limited visibility conditions inherent to aquatic media.
104
Publications
4.9K
Citations
263
Authors
105
Institutions
Publications per year
2017–2026
59
Parents
104
Hauke Strasdat, J. M. M. Montiel, Andrew J. Davison · Image and Vision Computing · 2012 · 415 citations
Using covariance intersection for SLAM
Simon Julier, Jeffrey Uhlmann · Robotics and Autonomous Systems · 2006 · 203 citations
Efficient View-Based SLAM Using Visual Loop Closures
Ian Mahon, Stefan B. Williams, Oscar Pizarro et al. · IEEE Transactions on Robotics · 2008 · 187 citations
1–5 of 104
263
12
h-index
Korea Advanced Institute of Science and Technology, South Korea
7 publications · 531 citations
7
h-index
5
h-index
5
h-index
5
h-index
1–5 of 263
105
University of Michigan
Ann Arbor, United States
11 h-index
25 publications
1.4K citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
9 h-index
13 publications
427 citations

Universitat de Girona
Girona, Spain
8 h-index
29 publications
956 citations

Heriot-Watt University
Edinburgh, United Kingdom
6 h-index
18 publications
647 citations
Universitat de les Illes Balears
Palma, Spain
5 h-index
13 publications
326 citations
University of South Carolina
Columbia, United States
4 h-index
11 publications
738 citations
Tsinghua University
Beijing, China
4 h-index
12 publications
621 citations
Dartmouth College
Hanover, United States
3 h-index
4 publications
251 citations
1–8 of 105
8 publications · 567 citations
8
h-index
6 publications · 123 citations
6
h-index
4 publications · 213 citations
5
h-index
4 publications · 286 citations
4
h-index
3 publications · 86 citations
3
h-index
1–5