基于KNN算法的大型汽车模拟隧道行驶项目压线评判  

Line Pressing Evaluation of Large Vehicle Simulated Tunnel Driving Project Based on KNN Algorithm

作　　者：刘学博 Liu Xuebo(Shanxi Province Automatic Research Institute,Taiyuan Shanxi 030006,China)

机构地区：[1]山西省自动化研究所,山西太原030012

出　　处：《山西电子技术》2018年第4期49-51,共3页Shanxi Electronic Technology

摘　　要：本文针对驾驶人场地驾驶技能考试系统中存在的GPS信号丢失时如何实现压线评判检测,提出一种基于KNN算法的大型汽车模拟隧道行驶项目压线评判算法。KNN算法利用多个相位式激光测距传感器回传的数据,准确地判断出车轮是否压线。经检测本文提出的算法精度可达99%。In this paper, an algorithm based on the KNN is proposed to judge whether the wheel presses the real line of the road when the GPS signal is lost in simulation of tunnel driving of the driving skill test system. The KNN algorithm uses the data transmitted by multiple phased laser rangefinder sensors to accurately determine whether the wheel is pressing real line of road. The accuracy of the proposed algorithm is up to 99%.

关 键 词：KNN算法 模拟隧道行驶 相位式激光测距传感器 

分 类 号：TP274.5[自动化与计算机技术—检测技术与自动化装置]