Data Association Ambiguity

Data Association Ambiguity is a localization uncertainty construct that characterizes the epistemic uncertainty arising from the indeterminacy in matching observed sensor measurements to underlying environmental landmarks or objects in dynamic or cluttered environments.

39

Publications

2.7K

Citations

131

Authors

69

Institutions

Publications per year

2017–2026

14

Authors

131

  1. JM
    John Mullane

    Nanyang Technological University, Singapore

    2 publications · 319 citations

    2

    h-index

  2. MA
    Martin Adams

    Nanyang Technological University, Singapore

    2 publications · 319 citations

    2

    h-index

  3. JJ
    John J. Leonard

    Massachusetts Institute of Technology, United States

    2 publications · 109 citations

    2

    h-index

  4. BV
    Ba‐Ngu Vo

    Curtin University, Australia

    2 publications · 319 citations

    2

    h-index

  5. LY
    Liang Yuan

    Beijing University of Chemical Technology, China

    1 publications · 23 citations

    1

    h-index

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