Multi-sensor Localization
Multi-Sensor Localization is a localization framework that fuses data from multiple heterogeneous sensors to estimate the position and orientation of an entity, distinguished by its integration of complementary sensor modalities to enhance accuracy, robustness, and reliability in uncertain environments.
189
Publications
8.2K
Citations
668
Authors
282
Institutions
Publications per year
2017–2026
77
Parents
189
Chunyi Peng, Guobin Shen, Yongguang Zhang et al. · 2007 · 482 citations
Entropy-based sensor selection heuristic for target localization
Hanbiao Wang, Kung Yao, Greg Pottie et al. · 2004 · 314 citations · Full text
A survey on Visual-Based Localization: On the benefit of heterogeneous data
Nathan Piasco, Désiré Sidibé, Cédric Demonceaux et al. · Pattern Recognition · 2017 · 230 citations
1–5 of 189
668
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
3 publications · 63 citations
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3
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3
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3
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2
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1–5 of 668
282
Wuhan University
Wuhan, China
4 h-index
13 publications
476 citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
4 h-index
13 publications
476 citations
Yale University
New Haven, United States
3 h-index
5 publications
231 citations
Tsinghua University
Beijing, China
3 h-index
11 publications
757 citations

Xidian University
Xi'an, China
3 h-index
9 publications
130 citations
Defence Science and Technology Group
Canberra, Australia
3 h-index
3 publications
363 citations

University of South Australia
Adelaide, Australia
3 h-index
3 publications
251 citations
Technion – Israel Institute of Technology
Haifa, Israel
3 h-index
4 publications
221 citations
1–8 of 282
8 publications · 306 citations
8
h-index
9 publications · 298 citations
8
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7 publications · 498 citations
7
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6 publications · 179 citations
6
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4 publications · 86 citations
4
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1–5