Cyclist Detection

Cyclist Detection is a computer vision task that identifies and localizes bicycles and their riders in image or sensor data, distinguishing them from other road users and static elements within the environment.

138

Publications

7.1K

Citations

502

Authors

180

Institutions

Publications per year

2017–2026

81

Authors

502

  1. TS
    Tarek Sayed

    University of British Columbia, Canada

    4 publications · 262 citations

    4

    h-index

  2. MH
    Mohamed H. Zaki

    University of British Columbia, Canada

    4 publications · 262 citations

    4

    h-index

  3. KN
    Krista Nordback

    Portland State University, United States

    4 publications · 91 citations

    4

    h-index

  4. GL
    Greg Lindsey

    University of Minnesota, United States

    3 publications · 42 citations

    3

    h-index

  5. RS
    Romuere Silva

    Universidade Federal do Piauí, Brazil

    3 publications · 251 citations

    3

    h-index

1–5 of 502

Venues

  1. 7

    h-index

  2. Accident Analysis & Prevention

    4 publications · 165 citations

    4

    h-index

  3. Pervasive and Mobile Computing

    3 publications · 74 citations

    3

    h-index

  4. IET Intelligent Transport Systems

    3 publications · 249 citations

    3

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 89 citations

    3

    h-index

1–5