Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Dynamic map building for an autonomous mobile robot
International Journal of Robotics Research
Data fusion in robotics and machine intelligence
Data fusion in robotics and machine intelligence
International Journal of Robotics Research
An automatic selection method and its application to key search algorithms
Information Sciences—Informatics and Computer Science: An International Journal
Learning metric-topological maps for indoor mobile robot navigation
Artificial Intelligence
Sensor and Information Fusion for Improved Vision-Based Vehicle Guidance
IEEE Intelligent Systems
Obtaining a Bayesian map for data fusion and failure detection under uncertainty
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
A pixel-level multisensor image fusion algorithm based on fuzzy logic
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Robust data fusion with occupancy grid
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Decentralized Bayesian detection with feedback
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Active vision in robotic systems: A survey of recent developments
International Journal of Robotics Research
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This paper presents a sensor fusion framework for selecting online the most reliable logical sensors and the most suitable algorithm for fusing sensor data in a robot platform. The framework is rule-based, employing the concept of using the simplest sensor fusion algorithm with the most reliable sensors. The framework is realized by implementing measures that were developed to quantify online sensor performance. Statistical, histogram, time series and graphical analyses demonstrate the advantages of this new framework.