Camera-based Obstacle Detection

Camera-Based Obstacle Detection is an obstacle detection method that utilizes visual data from cameras as the primary input modality to identify and localize impediments in the environment, distinguished from other sensing modalities by its reliance on optical imaging for real-time scene interpretation.

202

Publications

7.5K

Citations

648

Authors

232

Institutions

Publications per year

2017–2026

61

Authors

648

  1. TG
    T. Gandhi

    University of California San Diego, United States

    6 publications · 250 citations

    6

    h-index

  2. RK
    Rangachar Kasturi

    Pennsylvania State University, United States

    5 publications · 150 citations

    5

    h-index

  3. OC
    Octavia Camps

    Pennsylvania State University, United States

    5 publications · 150 citations

    5

    h-index

  4. LC
    L.D. Coraor

    Pennsylvania State University, United States

    4 publications · 137 citations

    4

    h-index

  5. RB
    Roger Bostelman

    National Institute of Standards and Technology, United States

    4 publications · 92 citations

    4

    h-index

1–5 of 648

Venues

  1. Sensors

    6 publications · 321 citations

    5

    h-index

  2. 3

    h-index

  3. Computers and Electronics in Agriculture

    3 publications · 247 citations

    3

    h-index

  4. IEEE Sensors Journal

    3 publications · 98 citations

    3

    h-index

  5. IET Intelligent Transport Systems

    3 publications · 66 citations

    3

    h-index

1–5