Extracting general-purpose features from LIDAR data

The detection of features from Light Detection and Ranging (LIDAR) data is a fundamental component of feature-based mapping and SLAM systems. Existing detectors tend to exploit characteristics of specific environments: corners and lines from indoor (rectilinear) environments, and trees from outdoor...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Yangming Li, Olson, Edwin B
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computer vision Corner Detector Data mining Detectors Feature detection Feature extraction Image processing Laser radar LIDARs Robot navigation Robots Robustness Simultaneous localization and mapping SLAM Uncertainty
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