Image-based Hazard Detection

Image-Based Hazard Detection is a computational method that identifies and localizes hazardous chemical substances or conditions in visual data by analyzing spatial patterns, spectral signatures, or contextual cues specific to chemical hazards, distinguishing it from broader hazard detection approaches through its reliance on image-based sensory input and computer vision techniques.

39

Publications

2.6K

Citations

142

Authors

58

Institutions

Publications per year

2017–2026

18

Authors

142

  1. JM
    James M. Keller

    University of Missouri, United States

    3 publications · 91 citations

    3

    h-index

  2. KS
    Kevin Stone

    University of Missouri, United States

    3 publications · 91 citations

    3

    h-index

  3. EA
    Edward A. Barrett

    National Institute for Occupational Safety and Health, United States

    2 publications · 68 citations

    2

    h-index

  4. WF
    Weili Fang

    Curtin University, Australia

    2 publications · 252 citations

    2

    h-index

  5. KM
    Kathleen M. Kowalski-Trakofler

    National Institute for Occupational Safety and Health, United States

    2 publications · 68 citations

    2

    h-index

1–5 of 142

Venues

  1. 3

    h-index

  2. Automation in Construction

    3 publications · 499 citations

    3

    h-index

  3. Advanced Engineering Informatics

    2 publications · 565 citations

    2

    h-index

  4. Buildings

    2 publications · 59 citations

    2

    h-index

  5. Fire Safety Journal

    1 publications · 30 citations

    1

    h-index

1–5