基于光电管的智能车路径识别研究

Research on Intelligent Vehicle Path Recognition Based on Photoelectric Cell

基于模拟量的红外光电传感器设计一种智能车路径采集系统。在该系统中,对传感器的信号进行了归一化处理和标定,消除了器件不一致性和外界光线的影响,并提出一种新的游标卡尺法提取引导线位置。实验证明:该系统测量精度高,实时性好,能很好地满足智能车对路径识别性能和抗干扰能力的要求。

Design a intelligent vehicle path acquisition system based on analog infrared photoelectric sensor. The system normalizes and calibrates the sensors, greatly weakens the effect cased by sensors＇ inconsistency and the variation of external light. And propose a new method to trace the characteristic of the black guide-line. Experimental results show that the system meets the need of path recognition and anti-interfere, has high degree of accuracy and perfect robustness.