Drivable Area Detection

Drivable Area Detection is a scene understanding task that identifies traversable regions of a road scene in which a vehicle can safely operate, distinguishing it from general semantic segmentation by focusing specifically on passable drivable surfaces in autonomous navigation contexts.

86

Publications

5K

Citations

322

Authors

108

Institutions

Publications per year

2017–2026

61

Authors

322

  1. ML
    Ming Liu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 230 citations

    3

    h-index

  2. YS
    Yuxiang Sun

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 230 citations

    3

    h-index

  3. JS
    Jae Shin Yoon

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 377 citations

    2

    h-index

  4. MM
    Markus Maurer

    Technische Universität Braunschweig, Germany

    2 publications · 33 citations

    2

    h-index

  5. ZX
    Zhenhua Xu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 124 citations

    2

    h-index

1–5 of 322

Venues

  1. 9

    h-index

  2. arXiv (Cornell University)

    Repository · 6 publications · 916 citations

    6

    h-index

  3. Sensors

    3 publications · 65 citations

    3

    h-index

  4. Applied Sciences

    4 publications · 63 citations

    3

    h-index

  5. IEEE Access

    3 publications · 95 citations

    3

    h-index

1–5