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

Authors

9

  1. MT
    Mihran Tüceryan

    Indiana University – Purdue University Indianapolis, United States

    1 publications · 23 citations

    1

    h-index

  2. SK
    Shin Kato

    National Institute of Advanced Industrial Science and Technology, Japan

    1 publications · 21 citations

    1

    h-index

  3. RE
    Ruwan Egodagamage

    Indiana University – Purdue University Indianapolis, United States

    1 publications · 23 citations

    1

    h-index

  4. CB
    Cyrille Berger

    Linköping University, Sweden

    1 publications · 72 citations

    1

    h-index

  5. EH
    Eva Hörster

    University of Augsburg, Germany

    1 publications · 20 citations

    1

    h-index

1–5 of 9

Venues

  1. JSAE Review

    1 publications · 21 citations

    1

    h-index

  2. Multimedia Systems

    1 publications · 20 citations

    1

    h-index

  3. Computers & Graphics

    1 publications · 23 citations

    1

    h-index

  4. Robotics and Autonomous Systems

    1 publications · 72 citations

    1

    h-index

1–4