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
Parents
63
Particle swarm optimisation with spatial particle extension
Thiemo Krink, J. Riget · 2003 · 231 citations
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117

Goldsmiths University of London
London, United Kingdom
2 h-index
2 publications
229 citations
Xi’an Jiaotong-Liverpool University
Suzhou, China
2 h-index
2 publications
106 citations

Xi'an Jiaotong University
Xi'an, China
2 h-index
2 publications
97 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
4 publications
97 citations
Dalian University of Technology
Dalian, China
2 h-index
9 publications
164 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
5 publications
677 citations

Harbin Institute of Technology
Harbin, China
2 h-index
5 publications
880 citations
National University of Singapore
Singapore, Singapore
2 h-index
3 publications
143 citations
1–8 of 117
4 publications · 657 citations
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3 publications · 73 citations
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MPE · 2 publications · 28 citations
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2 publications · 52 citations
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2 publications · 324 citations
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