Multi-modal Perception
Multi-Modal Perception is a computational framework in LiDAR perception that integrates data from multiple sensory modalities, such as LiDAR, camera, and radar, to enhance environmental understanding by leveraging complementary spatial, spectral, and temporal information unattainable through a single modality alone.
280
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24K
Citations
1.1K
Authors
368
Institutions
Publications per year
2017–2026
209
Parents
280
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla et al. · 2020 · 3K citations
Di Feng, Christian Schütz, Lars Rosenbaum et al. · IEEE Transactions on Intelligent Transportation Systems · 2020 · 1.3K citations · Full text
RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation
Andres Milioto, Ignacio Vizzo, Jens Behley et al. · 2019 · 1.2K citations
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368
Tsinghua University
Beijing, China
11 h-index
38 publications
2.1K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
21 publications
521 citations

Beihang University
Beijing, China
6 h-index
15 publications
964 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
13 publications
828 citations
Shanghai Artificial Intelligence Laboratory
Shanghai, China
5 h-index
24 publications
1.6K citations
The University of Texas at Austin
Austin, United States
5 h-index
11 publications
776 citations
University of Michigan
Ann Arbor, United States
4 h-index
10 publications
2K citations

University of Birmingham
Birmingham, United Kingdom
4 h-index
5 publications
321 citations
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Repository · 26 publications · 1K citations
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11 publications · 2.6K citations
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10 publications · 693 citations
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8 publications · 293 citations
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8 publications · 385 citations
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