Distributed Visual Odometry
Distributed Visual Odometry is a multi-robot perception framework that enables cooperative ego-motion estimation by jointly processing visual inertial measurements across a network of robots through decentralized optimization, distinguishing it from centralized or single-robot visual odometry approaches.
4
Publications
136
Citations
9
Authors
6
Institutions
Publications per year
2017–2026
1
Parents
4
1–4 of 4
9
Indiana University – Purdue University Indianapolis, United States
1 publications · 23 citations
1
h-index
National Institute of Advanced Industrial Science and Technology, Japan
1 publications · 21 citations
1
h-index
Indiana University – Purdue University Indianapolis, United States
1 publications · 23 citations
1
h-index
1
h-index
1
h-index
1–5 of 9
6
Australian Centre for Robotic Vision
Brisbane, Australia
1 h-index
1 publications
72 citations

National Institute of Advanced Industrial Science and Technology
Tsukuba, Japan
1 h-index
1 publications
21 citations
University of Augsburg
Augsburg, Germany
1 h-index
2 publications
40 citations

The University of Sydney
Sydney, Australia
1 h-index
1 publications
72 citations

Université Fédérale de Toulouse Midi-Pyrénées
Toulouse, France
1 h-index
3 publications
216 citations

Indianapolis Zoo
Indianapolis, United States
1 h-index
1 publications
23 citations
1–6 of 6
1 publications · 21 citations
1
h-index
1 publications · 20 citations
1
h-index
1 publications · 23 citations
1
h-index
1 publications · 72 citations
1
h-index
1–4