Random Finite Sets for Robot Mapping and SLAM New Concepts in Autonomous Robotic Map Representations /

• Κύριοι συγγραφείς: Mullane, John (Συγγραφέας), Vo, Ba-Ngu (Συγγραφέας), Adams, Martin (Συγγραφέας), Vo, Ba-Tuong (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Σειρά: Springer Tracts in Advanced Robotics, 72
• Θέματα: Engineering.; Artificial intelligence.; Robotics.; Automation.; Robotics and Automation.; Artificial Intelligence (incl. Robotics).

Simultaneous Localisation and Map (SLAM) building algorithms, which rely on random vectors to represent sensor measurements and feature maps are known to be extremely fragile in the presence of feature detection and data association uncertainty. Therefore new concepts for autonomous map representati...

Πίνακας περιεχομένων:

• Part I Random Finite Sets
• Why Random Finite Sets?
• Estimation with Random Finite Sets
• Part II Random Finite Set Based Robotic Mapping
• An RFS Theoretic for Bayesian Feature-Based Robotic Mapping
• An RFS ‘Brute Force’ Formulation for Bayesian SLAM
• Rao-Blackwellised RFS Bayesian SLAM
• Extensions with RFSs in SLAM.