Camera-based Perception

Camera-Based Perception is a vehicle perception methodology that utilizes visual data acquired from digital cameras to detect, recognize, and interpret environmental features and objects, distinguished from other sensing modalities by its reliance on optical imaging and computer vision algorithms for spatial understanding.

218

Publications

9.3K

Citations

845

Authors

301

Institutions

Publications per year

2017–2026

95

Authors

845

  1. MM
    Mohan M. Trivedi

    University of California San Diego, United States

    5 publications · 393 citations

    5

    h-index

  2. SY
    Senthil Yogamani

    Valeo (Ireland), Ireland

    4 publications · 177 citations

    4

    h-index

  3. TB
    Thomas B. Moeslund

    Aalborg University, Denmark

    3 publications · 312 citations

    3

    h-index

  4. WS
    Wayne Sarasua

    Clemson University, United States

    3 publications · 72 citations

    3

    h-index

  5. ST
    Stanley T. Birchfield

    Clemson University, United States

    3 publications · 72 citations

    3

    h-index

1–5 of 845

Venues

  1. Sensors

    8 publications · 492 citations

    8

    h-index

  2. 5

    h-index

  3. 5

    h-index

  4. arXiv (Cornell University)

    Repository · 4 publications · 106 citations

    4

    h-index

  5. IEEE Robotics and Automation Letters

    3 publications · 180 citations

    3

    h-index

1–5