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
Parents
39
A Random-Finite-Set Approach to Bayesian SLAM
John Mullane, Ba‐Ngu Vo, Martin Adams et al. · IEEE Transactions on Robotics · 2011 · 285 citations
1–5 of 39
131
2
h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 131
69
Gwangju Institute of Science and Technology
Gwangju, South Korea
2 h-index
3 publications
312 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
3 publications
353 citations
University of Connecticut
Storrs, United States
2 h-index
5 publications
394 citations
Technical University of Munich
Munich, Germany
1 h-index
1 publications
13 citations

The University of Western Australia
Perth, Australia
1 h-index
2 publications
570 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
1 publications
44 citations
Columbia University
New York, United States
1 h-index
1 publications
158 citations

Johns Hopkins Medicine
Baltimore, United States
1 h-index
1 publications
377 citations
1–8 of 69
3 publications · 207 citations
3
h-index
TPAMI · 2 publications · 659 citations
2
h-index
1 publications · 20 citations
1
h-index
1 publications · 20 citations
1
h-index
1 publications · 19 citations
1
h-index
1–5