Cluster-Based Data Association is a data association method that groups measurements or observations into clusters based on spatial, temporal, or feature similarity, and subsequently resolves associations within each cluster to reduce computational complexity and improve matching accuracy in multitarget tracking scenarios.
19
Publications
616
Citations
59
Authors
29
Institutions
Publications per year
2017–2026
2
Parents
Publications
19
Tracking Large Variable Numbers of Objects in Clutter
Margrit Betke, Damien Hirsh, A. Bagchi et al. · 2007 · 106 citations
A Multi-Stage Clustering Framework for Automotive Radar Data
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann et al. · 2019 · 50 citations · Full text
1–5 of 19
Authors
59
- NS
1
h-index
- DH
1
h-index
- SC
1
h-index
- AB
1
h-index
- MC
1
h-index
1–5 of 59
Institutions
29
REVA University
Bengaluru, India
1 h-index
3 publications
63 citations
Shell (Netherlands)
The Hague, The Netherlands
1 h-index
3 publications
63 citations
Tamkang University
Taipei, Taiwan
1 h-index
2 publications
108 citations
University of Jordan
Amman, Jordan
1 h-index
3 publications
228 citations
National Taitung University
Taitung, Taiwan
1 h-index
1 publications
20 citations
Nanhua University
Chiayi City, Taiwan
1 h-index
1 publications
20 citations
Lanzhou University
Lanzhou, China
1 h-index
5 publications
100 citations
Universidade de Santiago de Compostela
Santiago de Compostela, Spain
1 h-index
1 publications
48 citations
1–8 of 29
Venues
- Expert Systems with Applications
1 publications · 54 citations
1
h-index
- International Journal of Students Research in Technology & Management
1 publications · 10 citations
1
h-index
- Atmospheric Environment
1 publications · 20 citations
1
h-index
- Computational Geosciences
1 publications · 16 citations
1
h-index
- The Journal of Supercomputing
1 publications · 76 citations
1
h-index
1–5