An evidential approach to SLAM, path planning, and active exploration

DOI10.1016/J.IJAR.2016.02.003zbMath1352.68257OpenAlexW2273639775MaRDI QIDQ274441

Thomas Reineking, Joachim Clemens, Tobias Kluth

Publication date: 22 April 2016

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2016.02.003

zbMATH Keywords

path planningbelief functionsactive explorationSLAM

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Artificial intelligence for robotics (68T40)

Related Items (1)

Formal methods for reasoning and uncertainty reduction in evidential grid maps

Uses Software

• FastSLAM

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Planning and acting in partially observable stochastic domains
• A Mathematical Theory of Communication
• Lifelong planning \(\text{A}^*\)
• Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem
• The transferable belief model
• Decision making in the TBM: the necessity of the pignistic transformation
• On measuring uncertainty and uncertainty-based information: recent developments
• Belief functions on real numbers
• Sequential Monte Carlo Methods in Practice
• ENTROPY AND SPECIFICITY IN A MATHEMATICAL THEORY OF EVIDENCE
• On the unicity of dempster rule of combination
• DECISION MAKING UNDER DEMPSTER-SHAFER UNCERTAINTIES
• A comparison of three uncertainty calculi for building sonar-based occupancy grids
• Robust Monte Carlo localization for mobile robots

This page was built for publication: An evidential approach to SLAM, path planning, and active exploration