Jilin University has developed a jutiv-3 visual navigation AGV that can be applied to the actual production of enterprises. Through the visual sensor, the color lines and identifier images laid on the ground are collected. After the fast computer vision processing algorithm, the relevant navigation parameters are obtained. Through the optimal controller, the AGV can track the color lines in real time, and has the functions of identifying station identifiers and forks<br>
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