Detection Association

Detection Association is a methodological process in object detection fusion that establishes correspondences between detected instances across multiple sensors or frames by distinguishing true associations from false matches through geometric, semantic, or probabilistic similarity metrics.

13

Publications

424

Citations

48

Authors

27

Institutions

Publications per year

2017–2026

8

Authors

48

  1. GJ
    Guoqian Jiang

    Mayo Clinic in Florida, United States

    1 publications · 23 citations

    1

    h-index

  2. PS
    Pontus Svenson

    Swedish Defence Research Agency, Sweden

    1 publications · 10 citations

    1

    h-index

  3. JB
    Jürgen Beyerer

    Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Germany

    1 publications · 47 citations

    1

    h-index

  4. XJ
    Xiangyang Ji

    Tsinghua University, China

    1 publications · 23 citations

    1

    h-index

  5. RG
    R. Grisleri

    University of Parma, Italy

    1 publications · 24 citations

    1

    h-index

1–5 of 48

Venues

  1. Bioinformatics

    1 publications · 34 citations

    1

    h-index

  2. IEEE Intelligent Vehicles Symposium

    IV · 1 publications · 52 citations

    1

    h-index

  3. 1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 32 citations

    1

    h-index

  5. Journal of the American Medical Informatics Association

    JAMIA · 1 publications · 23 citations

    1

    h-index

1–5