Evidential mapping for mobile robots with range sensors

Mapping for mobile robots integrates noisy spurious sensor data into a single coherent map useful for navigational purposes. There are various frameworks used for mapping, but the Bayesian framework appears to be most popular. In this paper, the theory behind the Bayesian framework as it is used in...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2006-08, Vol.55 (4), p.1422-1429
Hauptverfasser:	Tun Yang, Aitken, V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Bayesian methods Coherence Computational modeling Computer simulation Fault-tolerant I&M systems Humanoid robots Instrumentation Intelligent sensors Mapping Mathematical models Mobile robots Navigation Robot sensing systems Robotics and automation Robots Sensor fusion Sensor phenomena and characterization Sensors soft computing for intelligent I&M systems
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