Context-guided Data Association

Context-Guided Data Association is a data association method in multi-sensor fusion systems that leverages contextual information—such as spatial, temporal, or environmental constraints—to disambiguate correspondences between sensor measurements and target entities, thereby improving matching accuracy under uncertainty.

3

Publications

138

Citations

16

Authors

6

Institutions

Publications per year

2017–2026

3

Authors

16

  1. SW
    Shaoze Wu

    RMIT University, Australia

    1 publications · 51 citations

    1

    h-index

  2. YX
    Yakun Xie

    Southwest Jiaotong University, China

    1 publications · 46 citations

    1

    h-index

  3. BX
    Bingli Xu

    Southwest Jiaotong University, China

    1 publications · 46 citations

    1

    h-index

  4. DP
    Duc-Hong Pham

    Ton Duc Thang University, Vietnam

    1 publications · 41 citations

    1

    h-index

  5. HC
    Hongyu Chen

    Southwest Jiaotong University, China

    1 publications · 46 citations

    1

    h-index

1–5 of 16

Venues

  1. Safety Science

    1 publications · 51 citations

    1

    h-index

  2. 1

    h-index

  3. Information Fusion

    1 publications · 41 citations

    1

    h-index

1–3