Informative Sensing is a methodological framework within active perception that selects sensing actions to maximize the information gain about a target environment or task, distinguishing itself by explicitly quantifying sensor data utility in guiding perception-driven decision-making.
21
Publications
1.6K
Citations
62
Authors
36
Institutions
Publications per year
2017–2026
12
Parents
Publications
21
Entropy-based sensor selection heuristic for target localization
Hanbiao Wang, Kung Yao, Greg Pottie et al. · 2004 · 314 citations · Full text
Efficient Informative Sensing using Multiple Robots
2010 · 256 citations
Media attention and Bitcoin prices
Dionisis Philippas, Hatem Rjiba, Khaled Guesmi et al. · Finance research letters · 2019 · 158 citations
1–5 of 21
Authors
62
- RS
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- AK
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- AV
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- MQ
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1–5 of 62
Institutions
36
University of Technology Sydney
Sydney, Australia
2 h-index
2 publications
35 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
171 citations
The University of Sydney
Sydney, Australia
2 h-index
6 publications
105 citations
Australian Centre for Robotic Vision
Brisbane, Australia
2 h-index
6 publications
105 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
8 publications
697 citations
British Antarctic Survey
Cambridge, United Kingdom
1 h-index
3 publications
57 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
1 publications
19 citations
Stevens Institute of Technology
Hoboken, United States
1 h-index
3 publications
183 citations
1–8 of 36
Venues
- Automation in Construction
2 publications · 156 citations
2
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- Finance research letters
1 publications · 158 citations
1
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- Environmental Data Science
1 publications · 19 citations
1
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- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
IMWUT · 1 publications · 31 citations
1
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- Technometrics
1 publications · 22 citations
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1–5