Underwater Slam
Underwater SLAM is a computational framework for simultaneous localization and mapping that specifically enables autonomous underwater vehicles to construct consistent environmental models and estimate their own position within unstructured subsea environments using sparse and noisy sensor data.
157
Publications
7.6K
Citations
426
Authors
154
Institutions
Publications per year
2017–2026
56
Variants
Underwater Simultaneous Localization And Mapping
Parents
157
On measuring the accuracy of SLAM algorithms
Rainer Kümmerle, Bastian Steder, Christian Dornhege et al. · Autonomous Robots · 2009 · 333 citations · Full text
Alex Skillen, Steven Lind, Peter Stansby et al. · Computer Methods in Applied Mechanics and Engineering · 2013 · 231 citations · Full text
1–5 of 157
426
13
h-index
8
h-index
Korea Advanced Institute of Science and Technology, South Korea
7 publications · 584 citations
7
h-index
7
h-index
7
h-index
1–5 of 426
154
University of Michigan
Ann Arbor, United States
12 h-index
25 publications
1.3K citations

Universitat de Girona
Girona, Spain
12 h-index
48 publications
2K citations
Universitat de les Illes Balears
Palma, Spain
9 h-index
21 publications
464 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
9 h-index
18 publications
833 citations

The University of Sydney
Sydney, Australia
8 h-index
24 publications
2K citations
Massachusetts Institute of Technology
Cambridge, United States
8 h-index
15 publications
1.3K citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
17 publications
1.2K citations
Universidade Federal do Rio Grande
Rio Grande, Brazil
6 h-index
28 publications
1K citations
1–8 of 154
10 publications · 723 citations
10
h-index
8 publications · 356 citations
8
h-index
5 publications · 76 citations
5
h-index
5 publications · 262 citations
5
h-index
IJRR · 5 publications · 440 citations
5
h-index
1–5