Long-range Obstacle Detection

Long-Range Obstacle Detection is an obstacle detection methodology that specializes in identifying and localizing impediments at distances typically exceeding 100 meters, thereby enabling autonomous systems to perceive and respond to distant environmental hazards with enhanced spatial and temporal foresight.

14

Publications

884

Citations

42

Authors

13

Institutions

Publications per year

2017–2026

2

Authors

42

  1. RH
    Raia Hadsell

    Google DeepMind (United Kingdom), United Kingdom

    4 publications · 390 citations

    4

    h-index

  2. YL
    Yann LeCun

    New York University, United States

    4 publications · 390 citations

    4

    h-index

  3. PS
    Pierre Sermanet

    Google (United States), United States

    4 publications · 390 citations

    4

    h-index

  4. UM
    Urs Müller

    New York University, United States

    3 publications · 360 citations

    3

    h-index

  5. GC
    Gabriele Costante

    University of Perugia, Italy

    2 publications · 124 citations

    2

    h-index

1–5 of 42

Venues

  1. Integrative and Comparative Biology

    1 publications · 28 citations

    1

    h-index

  2. IRIS Research product catalog (Sapienza University of Rome)

    Repository · 1 publications · 105 citations

    1

    h-index

  3. Canadian Journal of Zoology

    1 publications · 87 citations

    1

    h-index

  4. Neurocomputing

    1 publications · 51 citations

    1

    h-index

  5. 1

    h-index

1–5