基于机器视觉技术优化的车辆间距提醒与智能换道辅助驾驶设计  

Design of vehicle spacing reminder and intelligent lane change assistant driving based on machine vision technology optimization

作　　者：张立霞[1] 贾同国[1] 袁月 ZHANG Lixia;JIA Tongguo;YUAN Yue(Xi’an Aeronautical Polytechninc Institute,Xi’an 710089,China)

机构地区：[1]西安航空职业技术学院,西安710089

出　　处：《自动化与仪器仪表》2023年第7期86-90,95,共6页Automation & Instrumentation

基　　金：西安航空职业技术学院2020年度科研计划项目《汽车避障伴随辅助驾驶系统的设计》(20XHZK-06)。

摘　　要：为了提高智能驾驶汽车的安全性能,提出了一种基于改进Canny算法的智能换道辅助驾驶模型。对改进后的Canny算法进行性能对比实验发现,改进后的算法平均峰值信噪比为28.36 dB,高于传统Canny算法。在智能换道辅助驾驶模型的仿真分析中发现,该模型控制的智能汽车的最大侧向加速度0.04 m/s2。上述结果说明改进Canny算法具有较好的图像识别性能,且基于机器视觉优化技术的智能换道辅助驾驶模型的平稳性和安全性较高。故可利用研究提出的方法改善目前智能驾驶汽车安全性不足的问题,从而降低交通事故的发生率。In order to improve the safety performance of intelligent driving vehicles,an intelligent lane change assistant driving model based on improved Canny algorithm is proposed.The performance comparison experiment of the improved Canny algorithm shows that the average peak signal-to-noise ratio of the improved algorithm is 28.36 db,which is higher than the traditional Canny algorithm.In the simulation analysis of the intelligent lane change assistant driving model,it is found that the maximum lateral acceleration of the intelligent vehicle controlled by the model is 0.04m/s2.The above results show that the improved Canny algorithm has good image recognition performance,and the intelligent lane change assistant driving model based on machine vision optimization technology has high stability and safety.Therefore,the methods proposed in the study can be used to improve the current problem of insufficient safety of intelligent driving vehicles,so as to reduce the incidence of traffic accidents.

关 键 词：机器视觉 CANNY算法 车辆间距 换道 辅助驾驶 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置] U491.6[自动化与计算机技术—控制科学与工程]