1 January 1987 Distributed Scene Analysis For Autonomous Road Vehicle Guidance
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Proceedings Volume 0852, Mobile Robots II; (1987) https://doi.org/10.1117/12.968237
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States
Abstract
An efficient distributed processing scheme has been developed for visual road boundary tracking by 'VaMoRs', a testbed vehicle for autonomous mobility and computer vision. Ongoing work described here is directed to improving the robustness of the road boundary detection process in the presence of shadows, ill-defined edges and other disturbing real world effects. The system structure and the techniques applied for real-time scene analysis are presented along with experimental results. All subfunctions of road boundary detection for vehicle guidance, such as edge extraction, feature aggregation and camera pointing control, are executed in parallel by an onboard multiprocessor system. On the image processing level local oriented edge extraction is performed in multiple 'windows', tighly controlled from a hierarchically higher, modelbased level. The interpretation process involving a geometric road model and the observer's relative position to the road boundaries is capable of coping with ambiguity in measurement data. By using only selected measurements to update the model parameters even high noise levels can be dealt with and misleading edges be rejected.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Birger D. Mysliwetz, Birger D. Mysliwetz, E. D. Dickmanns, E. D. Dickmanns, } "Distributed Scene Analysis For Autonomous Road Vehicle Guidance", Proc. SPIE 0852, Mobile Robots II, (1 January 1987); doi: 10.1117/12.968237; https://doi.org/10.1117/12.968237
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