Real-time Collaborative Mapping
Real-Time Collaborative Mapping is a computational framework that enables multiple geographically distributed users to simultaneously contribute, view, and edit shared spatial data in a synchronized manner with minimal latency, thereby distinguishing itself from batch- or deferred-update mapping systems through its continuous and instantaneous integration of collaborative inputs.
15
Publications
739
Citations
52
Authors
29
Institutions
Publications per year
2017–2026
7
Parents
15
Collaborative monocular SLAM with multiple Micro Aerial Vehicles
Christian Förster, Simon Lynen, Laurent Kneip et al. · 2013 · 199 citations · Full text
A framework for multi-robot pose graph SLAM
Isaac Deutsch, Ming Liu, Roland Siegwart · 2016 · 75 citations
1–5 of 15
52
1
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1
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Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, China
1 publications · 15 citations
1
h-index
1
h-index
1
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1–5 of 52
29
ETH Zurich
Zurich, Switzerland
3 h-index
7 publications
965 citations

Brunel University of London
London, United Kingdom
1 h-index
1 publications
53 citations
Nanjing Normal University
Nanjing, China
1 h-index
5 publications
75 citations

City University of Macau
Macao, Macao
1 h-index
1 publications
26 citations

City University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
75 citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
1 h-index
3 publications
78 citations
Technical University of Munich
Munich, Germany
1 h-index
1 publications
139 citations
University of Lincoln
Lincoln, United Kingdom
1 h-index
1 publications
18 citations
1–8 of 29
ARS · 1 publications · 18 citations
1
h-index
1 publications · 53 citations
1
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1 publications · 15 citations
1
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1 publications · 139 citations
1
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1 publications · 27 citations
1
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1–5