Graph-based Sensor Fusion
Graph-Based Sensor Fusion is a sensor fusion framework that represents multi-robot perception data and their interdependencies as a graph, where nodes denote sensory measurements or states and edges encode probabilistic constraints or relationships, enabling distributed and scalable state estimation through graph optimization techniques.
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1.7K
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133
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48
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2017–2026
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GOMSF: Graph-Optimization Based Multi-Sensor Fusion for robust UAV Pose estimation
Ruben Mascaro, Lucas Teixeira, Timo Hinzmann et al. · 2018 · 129 citations · Full text
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ETH Zurich
Zurich, Switzerland
2 h-index
8 publications
783 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
2 h-index
11 publications
303 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
5 publications
276 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
7 publications
237 citations

Colorado School of Mines
Golden, United States
1 h-index
2 publications
24 citations
Middle East Technical University
Ankara, Türkiye
1 h-index
1 publications
23 citations

University of Waterloo
Waterloo, Canada
1 h-index
2 publications
48 citations

Ghent University
Ghent, Belgium
1 h-index
5 publications
960 citations
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3 publications · 69 citations
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2 publications · 121 citations
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IJRR · 2 publications · 119 citations
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2 publications · 111 citations
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2 publications · 48 citations
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