Sensor Modeling
Sensor modeling is the academic field and methodological approach concerned with creating mathematical, physical, or statistical representations of how sensors interact with their environment and generate data. It investigates sensor characteristics such as noise, bias, resolution, and response functions, alongside the influence of environmental variables, to predict or explain observed sensor outputs. This concept is significant for sensor design, calibration, simulation, data interpretation, performance analysis, and the development of perception and control systems in diverse applications.
14
Publications
459
Citations
53
Authors
18
Institutions
Publications per year
2017–2026
2
Parents
14
Sergio Saponara, Esa Petri, Luca Fanucci et al. · IEEE Transactions on Instrumentation and Measurement · 2010 · 50 citations
1–5 of 14
53
1 publications · 19 citations
1
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1
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1
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1
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1
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1–5 of 53
18

Beihang University
Beijing, China
1 h-index
5 publications
165 citations

Ministry of Industry and Information Technology
Beijing, China
1 h-index
2 publications
66 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
2 publications
24 citations
State Key Laboratory of Remote Sensing Science
Beijing, China
1 h-index
2 publications
24 citations
Western Michigan University
Kalamazoo, United States
1 h-index
2 publications
76 citations

University of Pisa
Pisa, Italy
1 h-index
4 publications
200 citations

Tokyo Denki University
Tokyo, Japan
1 h-index
2 publications
24 citations
Asahi Kasei (Japan)
Tokyo, Japan
1 h-index
1 publications
12 citations
1–8 of 18
2 publications · 68 citations
2
h-index
2 publications · 29 citations
2
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Repository · 1 publications · 19 citations
1
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1 publications · 33 citations
1
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1 publications · 12 citations
1
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1–5