基于模糊逻辑的汽车障碍物探测系统设计

Automotive obstacle detection systembased on fuzzy logic

近些年交通事故频频发生,不仅造成大量的经济损失,而且还使很多人失去了生命。除人为因素减少交通事故外,研发更为高效、智能的障碍物探测系统具有更重要的现实意义。此设计方案中利用6个超声波传感器组成探测器网络,通过多次反射法采集障碍物的位置信息数据,并利用模糊逻辑和数据融合的算法思想,不仅可以采集车辆周围障碍物的距离信息,还可以对障碍物方位进行分析,解决了单一超声波传感器只能测障碍物距离的缺陷,从而可以及时提醒驾驶员进行减速、避障等操作,有利于减少交通事故的发生。

In recent years, traffic accidents occur frequently, not only causes huge economic losses, but also makes a lot of people lost their lives. Therefore,in addition to the man-made factors to reduce the traffic accident, developing more efficient intelligent obstacle detection of vehicle collision avoidance system has important practical significance. This design uses six supersonic sensors to form the detector network,which collects the position information by using multiple reflection method and introducing the fuzzy logic and data fusion algorithm. It solves the defects of the single supersonic sensor can only measure obstacle distance, andis use- ful to the driver to deceleration, obstacle avoidance and other operations through analyzing effectively the range and orientationof ob- stacles around the vehicle, which is beneficial to avoid traffic accidents.