Modeling and fusing uncertain multi-sensory data

DOI<95::AID-ROB3>3.0.CO;2-P 10.1002/(SICI)1097-4563(199602)13:2<95::AID-ROB3>3.0.CO;2-PzbMath0883.93050OpenAlexW1977355941MaRDI QIDQ4348606

No author found.

Publication date: 16 March 1998

Full work available at URL: https://doi.org/10.1002/(sici)1097-4563(199602)13:2<95::aid-rob3>3.0.co;2-p

zbMATH Keywords

multi-sensor systemsensor uncertaintycooperation behavior among sensorsfusion strategiesstochastic weighting scheme

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Decentralized systems (93A14)

Cites Work

• Elements of multi-Bayesian decision theory
• Allocation, Lehrer models, and the consensus of probabilities
• Fuzzy sets as a basis for a theory of possibility
• Agreeing to disagree
• Multi-Bayesian Statistical Decision Theory
• A Necessary and Sufficient Condition for Reaching a Consensus Using DeGroot's Method
• Scoring Rules and the Inevitability of Probability
• Consensus theoretic classification methods
• Cognitive Processes and the Assessment of Subjective Probability Distributions
• Group Decisions in the Face of Differences of Opinion
• Towards consensus: some convergence theorems on repeated averaging
• New approach for aggregating multi‐sensory data
• On Information and Sufficiency
• Robust Statistics
• Introduction to variance estimation
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Modeling and fusing uncertain multi-sensory data