Paper
12 August 1998 Laser-based obstacle detection and avoidance system
Mel W. Torrie, Sriharsha Veeramachaneni, Ben A. Abbott
Author Affiliations +
Abstract
The Center for Self-Organizing and Intelligent Systems at Utah State University has been developing laser-based obstacle detection and avoidance during the past four years. The JPL initially encouraged us down this path to provide an optional software upgrade for its Rocky Rover. The USU system was based on a unique combination of fuzzy logic and a decision tree behavioral technique, and this system provided the Rocky Rover the option of venturing independently beyond the observance of the base station. Shortcomings in the data collection prompted a redesign that included more sophisticated line tracing and filtering methods to locate and track the actual laser lines. The signal to noise ratio problems combined with platform changes lead to the choice of a commercial range finder. The design challenge then became one of system integration including the meting of real time constraints on the current processor platform, and obstacle characterization and avoidance.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mel W. Torrie, Sriharsha Veeramachaneni, and Ben A. Abbott "Laser-based obstacle detection and avoidance system", Proc. SPIE 3366, Robotic and Semi-Robotic Ground Vehicle Technology, (12 August 1998); https://doi.org/10.1117/12.317548
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Cameras

Optical filters

3D scanning

Fuzzy logic

Intelligence systems

Sensors

CCD cameras

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