Academic Journal of Computing & Information Science, 2020, 3(4); doi: 10.25236/AJCIS.2020.030402.
He Yali, Zhang Songfeng, Li Xueliang, Wu Kuang, Guo Yanhua
Zhoukou Normal University, Zhoukou, Henan, China, 466001
With the rapid development and innovation of science technology, the traffic intelligence level is improved day by day. In order to enable the wheeled robot to drive autonomously, STM32F103RCT6 MCU was selected as the controller of the path recognition wheeled robot, OV7670 digital CMOS image sensor was selected as the path information acquisition sensor, and SCA60C inclination sensor is selected as the road slope information acquisition sensor, A wheeled robot based on visual navigation was designed. In addition, in this paper, we compiled the control program of the wheeled robot for path recognition through Keil μVision5 IDE development software, and realized the automatic path recognition and autonomous operation of the robot with hardware circuit, and improved the mechanical structure and control algorithm of the robot in debugging. It was proved that the robot designed in this paper has the advantages of reasonable structure, CMOS image sensor foresight, and image binarization is stable with visual navigation algorithm, which has obvious advantages compared with traditional path recognition robot.
Visual navigation; Path recognition; CMOS
He Yali, Zhang Songfeng, Li Xueliang, Wu Kuang, Guo Yanhua. Design of Wheeled Robot Based on Visual Navigation. Academic Journal of Computing & Information Science (2020), Vol. 3, Issue 4: 11-20. https://doi.org/10.25236/AJCIS.2020.030402.
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