Continuous path detection method of intelligent track-searching vehicle based on photoelectric sensor

The detection distance and accuracy of the path are two key factors of photoelectric intelligent track-searching vehicles. Firstly, through the analysis of operating principles of photoelectric sensors, this article designs a circuit for photoelectric sensors. This circuit could make photoelectric sensors work in impulse state, enlarging their detection distance of the path. Secondly, traditional path detection algorithms could not get enough information of path conditions, which is discrete and not continuous. According to the study of characteristics of photoelectric sensor, the special feature curve of photoelectric sensor is found out. Based on this feature curve, this article puts forward a continuous detection algorithm of intelligent vehicles. Experimental result demonstrates that this algorithm not only improves intelligent vehicle´s speed but also promotes its systemic stability. Therefore, the continuous path detection method proposed by this paper has high accuracy, large detection range, and high practicability.