3D Point Cloud Mapping
3D Point Cloud Mapping is a computational method in environment representation that generates a three-dimensional geometric model of a physical space by aggregating spatially referenced point measurements acquired from sensor data, distinguishing itself through its explicit encoding of volumetric structure via discrete, coordinate-based points.
123
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7.4K
Citations
461
Authors
150
Institutions
Publications per year
2017–2026
79
Parents
123
Towards 3D Point cloud based object maps for household environments
Radu Bogdan Rusu, Zoltán-Csaba Márton, Nico Blodow et al. · Robotics and Autonomous Systems · 2008 · 1.1K citations
Kintinuous: Spatially Extended KinectFusion
Thomas J. Whelan, Michael Kaess, Maurice Fallon et al. · DSpace@MIT (Massachusetts Institute of Technology) · 2012 · 544 citations · Full text
Continuous 3D scan-matching with a spinning 2D laser
Michael Bosse, Robert Zlot · 2009 · 295 citations
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150
Technical University of Munich
Munich, Germany
6 h-index
24 publications
7K citations

National University of Defense Technology
Changsha, China
4 h-index
11 publications
424 citations

University of Waterloo
Waterloo, Canada
4 h-index
6 publications
232 citations
University of Bonn
Bonn, Germany
3 h-index
7 publications
561 citations

Central South University
Changsha, China
3 h-index
12 publications
586 citations
Wuhan University
Wuhan, China
3 h-index
10 publications
446 citations

Hanyang University
Seoul, South Korea
3 h-index
9 publications
283 citations

University of Tehran
Tehran, Iran
3 h-index
8 publications
256 citations
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9 publications · 385 citations
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7 publications · 215 citations
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7 publications · 300 citations
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6 publications · 595 citations
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4 publications · 174 citations
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