Sensor Noise Analysis
Sensor Noise Analysis is a systematic method for characterizing and quantifying the unwanted signal variations in sensor outputs that arise from intrinsic and extrinsic sources, distinguishing it from general signal analysis by focusing specifically on the statistical properties, origins, and mitigation of noise within sensor data acquisition systems.
482
Publications
22.9K
Citations
1.6K
Authors
585
Institutions
Publications per year
2017–2026
114
Parents
482
A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM
Ankur Handa, Thomas J. Whelan, John McDonald et al. · 2014 · 939 citations
P. P. Freitas, Ricardo Ferreira, Susana Cardoso et al. · Journal of Physics Condensed Matter · 2007 · 411 citations
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585

Centre National de la Recherche Scientifique
Paris, France
12 h-index
39 publications
1.6K citations

University of Warwick
Coventry, United Kingdom
10 h-index
18 publications
1K citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
19 publications
712 citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
22 publications
1.6K citations
University of California, Berkeley
Berkeley, United States
7 h-index
27 publications
1.9K citations
California Institute of Technology
Pasadena, United States
7 h-index
21 publications
1.5K citations
Stanford University
Stanford, United States
6 h-index
11 publications
552 citations
University of California, Los Angeles
Los Angeles, United States
6 h-index
16 publications
449 citations
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18 publications · 537 citations
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12 publications · 459 citations
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12 publications · 438 citations
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8 publications · 186 citations
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7 publications · 236 citations
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