A visual control system using image processing and fuzzy theory
作者： Hiroshi Kamada , Masumi Yoshida
DOI: 10.1007/978-1-4612-2778-6_4
关键词:
摘要: We developed a visual control system for an unmanned vehicle. The consists of dynamic image processor and fuzzy logic mechanism. It quickly recognizes markers lined along road thereby navigates driverless are detected in real time by pipeline processing the color identification logical filter; marker sequence is recognized improved Hough transform, then mechanism decides steering angle. To use information on movement vehicle, we constructed inference rules how position changes with time. LSI (large-scale integrated circuit) chip filter to realize very compact practical (23 × 30 9.5 cm). mounted this it successfully drove around test track.
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sci-hub.st 参考文章(6)
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