Multi-session Mapping

Multi-Session Mapping is a method in environment representation that integrates spatial data acquired across multiple temporal sessions to generate a consistent and reusable global map, distinguished by its ability to handle appearance changes, viewpoint variations, and non-overlapping initial conditions between sessions.

17

Publications

1.7K

Citations

57

Authors

21

Institutions

Publications per year

2017–2026

10

Authors

57

  1. CC
    César Cadena

    ETH Zurich, Switzerland

    4 publications · 360 citations

    4

    h-index

  2. RS
    Roland Siegwart

    ETH Zurich, Switzerland

    3 publications · 317 citations

    3

    h-index

  3. MD
    Marcin Dymczyk

    ETH Zurich, Switzerland

    3 publications · 317 citations

    3

    h-index

  4. JN
    José Neira

    Universidad de Zaragoza, Spain

    3 publications · 337 citations

    3

    h-index

  5. MK
    Michael Kaess

    Carnegie Mellon University, United States

    2 publications · 116 citations

    2

    h-index

1–5 of 57

Venues

  1. Robotics and Autonomous Systems

    2 publications · 130 citations

    2

    h-index

  2. IEEE Robotics and Automation Letters

    2 publications · 301 citations

    2

    h-index

  3. 2022 International Conference on Robotics and Automation (ICRA)

    Conference · 1 publications · 48 citations

    1

    h-index

  4. Nature

    1 publications · 338 citations

    1

    h-index

  5. The International Journal of Robotics Research

    IJRR · 1 publications · 221 citations

    1

    h-index

1–5