Map Consistency Verification

Map Consistency Verification is a computational framework within multi-robot perception that ensures spatial and semantic coherence across distributed maps by detecting and resolving discrepancies arising from sensor noise, localization errors, or environmental changes during collaborative mapping.

6

Publications

924

Citations

20

Authors

10

Institutions

Publications per year

2017–2026

2

Authors

20

  1. RA
    Rafael Arrais

    INESC TEC, Portugal

    1 publications · 16 citations

    1

    h-index

  2. AK
    Abdallah Kassir

    General Electric (United States), United States

    1 publications · 20 citations

    1

    h-index

  3. UF
    Udo Frese

    University of Bremen, Germany

    1 publications · 21 citations

    1

    h-index

  4. CS
    Cyrill Stachniss

    University of Bonn, Germany

    1 publications · 492 citations

    1

    h-index

  5. SH
    Shoudong Huang

    University of Technology Sydney, Australia

    1 publications · 21 citations

    1

    h-index

1–5 of 20

Venues

  1. Autonomous Robots

    1 publications · 21 citations

    1

    h-index

  2. Proceedings of the IEEE

    1 publications · 331 citations

    1

    h-index

  3. Journal of Intelligent & Robotic Systems

    1 publications · 44 citations

    1

    h-index

  4. Journal of Manufacturing Systems

    1 publications · 16 citations

    1

    h-index

  5. Journal of Combinatorial Optimization

    1 publications · 12 citations

1–5