Probabilistic Mapping
Probabilistic Mapping is a formal method within the domain of spatial or conceptual representation that assigns likelihood distributions to possible correspondences between source and target elements, distinguishing itself from deterministic approaches by explicitly quantifying uncertainty in the mapping process.
181
Publications
16K
Citations
662
Authors
289
Institutions
Publications per year
2017–2026
58
181
SVO: Fast semi-direct monocular visual odometry
Christian Förster, Matia Pizzoli, Davide Scaramuzza · 2014 · 2.1K citations
Probabilistic Mapping and Volume Measurement of Human Primary Auditory Cortex
Jörg Rademacher, Patricia Morosan, Thorsten Schormann et al. · NeuroImage · 2001 · 515 citations
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289
Carnegie Mellon University
Pittsburgh, United States
7 h-index
17 publications
2.1K citations
Nanyang Technological University
Singapore, Singapore
5 h-index
16 publications
2K citations
Stanford University
Stanford, United States
5 h-index
7 publications
324 citations
University of California, Berkeley
Berkeley, United States
4 h-index
10 publications
255 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
4 h-index
8 publications
629 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
17 publications
987 citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
7 publications
343 citations
University of Sheffield
Sheffield, United Kingdom
3 h-index
5 publications
318 citations
1–8 of 289
Repository · 6 publications · 211 citations
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4 publications · 407 citations
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IJRR · 4 publications · 598 citations
4
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4 publications · 918 citations
4
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4 publications · 452 citations
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