Robust Obstacle Detection from Stereoscopic Image Sequences Using Kalman Filtering

In this paper a new approach for video based obstacle detection for a mobile robot is proposed, based on probabilistic evaluation of image data. Apart from the measurement data, also their uncertainties are taken into account. Evaluation is achieved using Kalman filter technique combining the result...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Suppes, Alexander, Suhling, Frank, Hötter, Michael
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Computing: general Control theory. Systems Exact sciences and technology Image processing Kalman filter obstacle detection Pattern recognition Pattern recognition. Digital image processing. Computational geometry Robotics stereo based vision
Online-Zugang:	Volltext
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