Particle Diversity

Particle Diversity is a performance metric in Monte Carlo Localization that quantifies the extent to which the particle set spans the state space, thereby distinguishing it from other evaluation metrics by its focus on the representativeness and spread of samples to assess estimation reliability and avoidance of sample impoverishment.

63

Publications

3.7K

Citations

231

Authors

117

Institutions

Publications per year

2017–2026

30

Authors

231

  1. NR
    Nicole Riemer

    University of Illinois Urbana-Champaign, United States

    2 publications · 253 citations

    2

    h-index

  2. JW
    John Wenger

    University College Cork, Ireland

    2 publications · 114 citations

    2

    h-index

  3. RH
    Ramazan Havangi

    University of Birjand, Iran

    2 publications · 77 citations

    2

    h-index

  4. RM
    Robert M. Healy

    University College Cork, Ireland

    2 publications · 114 citations

    2

    h-index

  5. XZ
    Xiangping Zhu

    Bohai University, China

    2 publications · 496 citations

    2

    h-index

1–5 of 231

Venues

  1. IEEE Transactions on Industrial Electronics

    4 publications · 657 citations

    4

    h-index

  2. Journal of Intelligent & Fuzzy Systems

    3 publications · 73 citations

    3

    h-index

  3. Mathematical Problems in Engineering

    MPE · 2 publications · 28 citations

    2

    h-index

  4. IEEE Access

    2 publications · 52 citations

    2

    h-index

  5. 2

    h-index

1–5