Machine Learning - Special issue on learning with probabilistic representations
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Probabilistic Networks and Expert Systems
Probabilistic Networks and Expert Systems
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Safety measures for terrain classification and safest site selection
Autonomous Robots
Winning the DARPA grand challenge with an AI robot
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
FIF: A fuzzy information fusion algorithm based on multi-criteria decision making
Knowledge-Based Systems
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This paper describes an onboard automated hybrid reasoning system for terrain safety assessment using multiple heterogeneous sensors onboard a spacecraft. An innovative feature of this system is integration of multiple sensing modalities and different reasoning engines into a unified approach. Three different frameworks for representation of data uncertainty are considered: fuzzy set theory, Bayesian probability theory, and Dempster-Shafer belief theory. The hybrid reasoning system is composed of three subsystems, namely, multisensor fusion, multidecision fusion, and tier-based fusion selection, where each tier represents a range of spacecraft altitudes. Simulation results are presented to illustrate the multisensor decision fusion methodology described in this paper. The developed capabilities will enable future spacecraft to land safely in more challenging planetary regions with scientifically Qileresting terrain features.