Feature-based Mapping

Feature-Based Mapping is a representation method in environmental modeling that identifies and structures spatial information by extracting distinct, meaningful elements from sensor data, distinguishing itself from other mapping approaches through its reliance on localized, interpretable features rather than raw or dense data integration.

54

Publications

2.8K

Citations

173

Authors

95

Institutions

Publications per year

2017–2026

15

Authors

173

  1. JJ
    John J. Leonard

    Massachusetts Institute of Technology, United States

    3 publications · 239 citations

    3

    h-index

  2. MA
    Martin Adams

    Nanyang Technological University, Singapore

    3 publications · 102 citations

    3

    h-index

  3. JL
    Jong‐Hwan Lim

    Chungnam National University, South Korea

    2 publications · 34 citations

    2

    h-index

  4. SW
    Stewart Worrall

    The University of Sydney, Australia

    2 publications · 21 citations

    2

    h-index

  5. YL
    Yangming Li

    University of Washington, United States

    2 publications · 112 citations

    2

    h-index

1–5 of 173

Venues

  1. The International Journal of Robotics Research

    IJRR · 3 publications · 164 citations

    3

    h-index

  2. Sensors

    2 publications · 69 citations

    2

    h-index

  3. CATENA

    1 publications · 65 citations

    1

    h-index

  4. 1

    h-index

  5. Environmental Pollution

    1 publications · 50 citations

    1

    h-index

1–5