To get itself global position is a major performance of an autonomous mobile robot. For this purpose, various kinds of location methods and sensors are being researched and developed. A global location sensor system based on vision technique was developed in our lab. The advantages of this sensor system are a larger view field that will no need to scan landmarks around, a faster sampling rate and a more precise position resolution that could satisfy mobile robot navigation. In this paper, the system architecture and locating method are presented. Some key techniques in location processing that include image processing, landmarks optimal selecting, and increase the system precision and speed are discussed emphatically; and the experimental results are given at the last.
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