Inference on networks of mixtures for robust robot mapping

The central challenge in robotic mapping is obtaining reliable data associations (or “loop closures”): state-of-the-art inference algorithms can fail catastrophically if even one erroneous loop closure is incorporated into the map. Consequently, much work has been done to push error rates closer to...

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Veröffentlicht in:	The International journal of robotics research 2013-06, Vol.32 (7), p.826-840
Hauptverfasser:	Olson, Edwin, Agarwal, Pratik
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayesian analysis Benchmarks Closures Errors Failure Inference Mapping Permissible error Robotics Robots
Online-Zugang:	Volltext
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