无人驾驶智能汽车路径跟踪算法与控制系统的研究  

Research on Path Tracking Algorithm and Control System of Driverless Intelligent Car

作　　者：孙小亮 SUN Xiaoliang(Henan University of Animal Husbandry and Economy,Zhengzhou 450046,China)

机构地区：[1]河南牧业经济学院,河南郑州450046

出　　处：《现代信息科技》2022年第18期37-39,43,共4页Modern Information Technology

摘　　要：近年来我国智能汽车产业发展较快,传统汽车在社会交通中的拥堵状况也逐渐减少,大排量汽车所造成的环境污染也得到有效控制。无人驾驶作为未来汽车的发展方向,其不仅能够提升单位时间内的交通流通量,也能对车辆行车路线、道路安全等进行规划,从而大大降低交通事故与安全隐患的发生。文章主要探讨无人驾驶智能汽车路径跟踪算法与控制系统,通过对信息采集、环境感知、规划控制等工作原理的分析,提出车辆行车控制、路径跟踪的可行方案。In recent years,my country’s intelligent car industry has developed rapidly,the congestion condition of traditional cars in social traffic has gradually decreased,and the environmental pollution caused by large-displacement cars has also been effectively controlled.As the development direction of future cars,driverless car can not only increase the traffic flow per unit time,but also plan the driving routes and road safety of vehicles,thereby greatly reducing the occurrence of traffic accidents and hidden safety hazards.This paper mainly discusses the path tracking algorithm and control system of driverless intelligent cars.Through the analysis of the working principles of information collection,environmental perception,planning control and so on,a feasible scheme for vehicle driving control and path tracking is proposed.

关 键 词：无人驾驶 智能汽车 路径跟踪算法 控制系统 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]