摘要
泊车引导系统作为智能汽车领域一个重要的研究方向,对于提高日常驻车的准确性和安全性有着重要的意义。本文研究的实验主体是一辆四轮电动无人驾驶智能车,以工业控制计算机为平台,提出一种基于工业控制计算机和超声波测距的泊车引导系统。通过安装在无人车车身的6组超声波传感器对车身周围情况进行检测,并检测目标车位的长度及深度,判断能否进行驻车。通过研究与分析日常的驻车经验,控制无人车的速度及方向盘转角,为系统规划出一条最佳泊车路径。经过实车验证,该系统能够良好的完成泊车引导任务,给日常泊车带来了极大的便利。
The parking guidance system is an important research direction of smart car. It has important significance to improve the accuracy and safety of daily parking, Experimental subject of this paper is a four-wheel electric unmanned smart car. It use industrial control computer as a platform, presents an parking guidance system based on industrial control computer and ultrasonic distance measurement. Around the unmanned smart body is equipped with six groups of ultrasonic sensors to detect the situation around the body, and to detect the length and depth of the target parking spaces, Therefor determining whether it＇s suitable for parking. Researching and experiencing of daily parking analysis to control unmanned smart cars＇ speed and the steering wheel angle it provides the data for system planning out an optimal parking path. Through the real smart car validation the system can well complete the parking guidance task. Bringing great convenience to daily parking.
出处
《电子设计工程》
2015年第18期96-99,共4页
Electronic Design Engineering
基金
中央财政支持地方高校专项发展基金(CXY1080)
