摘要
近年来自动驾驶技术发展迅速[1]。机器视觉作为主要的信息采集和分析处理部分,是自动辅助驾驶技术中的核心环节[2]。通过在小车上设计机器视觉识别系统,结视觉软件处理算法,对实时行驶中的小车驾驶道路信息状况进行图像采集、分析和处理,实现在驾驶过程中前方突然出现的如行人、汽车、动物等目标物时能准确进行检测,从而控制小车实现刹车及避让,有效提高汽车行驶的安全性。
Recent years,autonomous driving technique has developed quickly.Machine vision,as the main part of information collection,analysis and processing,is the core link of automatic driving assistance technology.Machine vision recognition system based on car design,and visual software processing algorithm,for driving in the car driving road condition information in real time image acquisition,analysis and processing,implementation in the process of driving suddenly appeared in front of the target objects such as pedestrians,cars,animals can accurately detect,so as to control the car brakes and collision avoidance,availably improve the safety of car driving.
出处
《工业控制计算机》
2021年第10期122-123,共2页
Industrial Control Computer
基金
2019年浙江省大学生科技创新项目(2019R432016)。
关键词
机器视觉
辅助驾驶
图像识别
机器学习
machine Vision
auxiliary driving
image recognition
maxhine learning
