Object-level Mapping

Object-Level Mapping is an academic method in environment representation that partitions spatial environments into discrete, semantically meaningful entities with associated attributes, distinguishing it from holistic or feature-level mapping approaches by emphasizing identifiable physical objects as the primary representational units.

52

Publications

2.5K

Citations

178

Authors

65

Institutions

Publications per year

2017–2026

43

Authors

178

  1. SL
    Stefan Leutenegger

    Imperial College London, United Kingdom

    3 publications · 343 citations

    3

    h-index

  2. AJ
    Andrew J. Davison

    Imperial College London, United Kingdom

    3 publications · 408 citations

    3

    h-index

  3. JW
    Jikai Wang

    University of Science and Technology of China, China

    2 publications · 83 citations

    2

    h-index

  4. MB
    Michael Bloesch

    ETH Zurich, Switzerland

    2 publications · 331 citations

    2

    h-index

  5. KL
    Katherine Liu

    Stanford University, United States

    2 publications · 87 citations

    2

    h-index

1–5 of 178

Venues

  1. Sensors

    3 publications · 73 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 49 citations

    3

    h-index

  3. IEEE Robotics and Automation Letters

    2 publications · 76 citations

    2

    h-index

  4. 2

    h-index

  5. Advances in Space Research

    1 publications · 12 citations

    1

    h-index

1–5