Point Cloud Fusion
Point Cloud Fusion is a computational method that integrates multiple point cloud datasets into a single coherent representation by aligning and merging spatially overlapping 3D geometry while preserving structural detail and minimizing redundancy.
516
Publications
27.1K
Citations
1.9K
Authors
523
Institutions
Publications per year
2017–2026
421
Parents
516
Multi-view 3D Object Detection Network for Autonomous Driving
Xiaozhi Chen, Huimin Ma, Ji Wan et al. · 2017 · 3.4K citations
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
Danfei Xu, Dragomir Anguelov, Ashesh Jain · 2018 · 849 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
Multi-level Fusion Based 3D Object Detection from Monocular Images
Bin Xu, Zhenzhong Chen · 2018 · 402 citations
1–5 of 516
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523
Tsinghua University
Beijing, China
19 h-index
60 publications
4.4K citations
Wuhan University
Wuhan, China
16 h-index
49 publications
3.6K citations

Shanghai Jiao Tong University
Shanghai, China
13 h-index
33 publications
1.1K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
27 publications
973 citations
Tongji University
Shanghai, China
12 h-index
39 publications
2.7K citations
Technical University of Munich
Munich, Germany
12 h-index
33 publications
1.4K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
11 h-index
26 publications
1.7K citations

Zhejiang University
Hangzhou, China
10 h-index
30 publications
3.7K citations
1–8 of 523
25 publications · 693 citations
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22 publications · 683 citations
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Repository · 15 publications · 633 citations
14
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13 publications · 760 citations
13
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12 publications · 818 citations
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