Free-space Estimation

Free-Space Estimation is a computational method in scene understanding that identifies traversable regions in an environment by differentiating accessible areas from obstacles using sensor or visual data.

34

Publications

1.4K

Citations

96

Authors

49

Institutions

Publications per year

2017–2026

14

Authors

96

  1. DA
    Didier Aubert

    Groupe d’Étude de la Matière Condensée, France

    3 publications · 155 citations

    3

    h-index

  2. HB
    Hernán Badino

    Carnegie Mellon University, United States

    4 publications · 374 citations

    3

    h-index

  3. HG
    Ho Gi Jung

    Yonsei University, South Korea

    2 publications · 119 citations

    2

    h-index

  4. RM
    Rudolf Mester

    Goethe University Frankfurt, Germany

    3 publications · 326 citations

    2

    h-index

  5. BH
    Bing-Jui Ho

    Carnegie Mellon University, United States

    2 publications · 67 citations

    2

    h-index

1–5 of 96

Venues

  1. IEEE Intelligent Vehicles Symposium

    IV · 2 publications · 125 citations

    2

    h-index

  2. 1

    h-index

  3. Machine Vision and Applications

    1 publications · 39 citations

    1

    h-index

  4. IEEE Robotics and Automation Letters

    1 publications · 68 citations

    1

    h-index

  5. 1

    h-index

1–5