Paper
23 June 2000 Road recognition for a tracked vehicle
Michael Luetzeler, Stefan Baten
Author Affiliations +
Abstract
The well known road detection and tracking algorithm (RDT), developed at the Universitat der Bundeswehy Muchen (UBM), has been adapted for following unpaved paths and contour lines. The vision system consists of a color CCD-camera mounted on UBM's high bandwidth pan-tilt head, dubbed TACC. The monochrome and color signals from the camera are processed in parallel. This vision system is used for lateral control of the Primus-C experimental vehicle Digitized Wiesel 2, an air-transportable tracked tank. Image processing simultaneously exploits the results from edge-based feature extraction and area-based segmentation. Feature matching is facilitated by exploiting the photometric homogeneity along contours. A flexible algorithm for active viewing direction control was implemented. The two axis camera carrier (TACC) is controlled by fixating on a point moving on the ceterline of the road segment. A semi-autonomous initialization mode is integrated using image points on the contour to be followed, specific by an operator. Autonomous driving speeds up to 50km/h on unpaved roads was demonstrated publicly in June 1999.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael Luetzeler and Stefan Baten "Road recognition for a tracked vehicle", Proc. SPIE 4023, Enhanced and Synthetic Vision 2000, (23 June 2000); https://doi.org/10.1117/12.389340
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Cited by 15 scholarly publications.
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KEYWORDS
Roads

Image processing

Cameras

Image segmentation

Feature extraction

Detection and tracking algorithms

Digital filtering

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