摘要
随着高科技时代的到来,智能车的发展与应用也成为关注的焦点之一。目前,国内外智能车系统中的路径信息采集控制系统通常利用磁导航传感器来获取路径信息,但通常会在采集过程中出现路径位置阶跃现象从而无法确切计算实际行驶路程。本文设计的智能车路径信息采集控制系统在路径信息分析过程中采用了阈值分割的优化算法,较好的解决了位置信息阶跃问题,实现了普通摄像头的连续路径识别功能,使智能车的应用成为可能。通过大量实验测试,结果表明该智能车系统能够快速平稳地在赛道上跟踪黑色引导线行驶,且系统的稳定性和抗干扰能力较强。
The development and application of intelligent vehicle has become the focus with the high-tech era coming.At present,domestic and foreign intelligence vehicle path information acquisition and control systems typically use magnetic navigation sensors to get the path information,but usually occur path locations during capture hopping phenomenon which can not precisely calculate the actual distance traveled.This design of intelligent vehicle path information in the path information acquisition and control system analysis process using threshold segmentation algorithm optimization,a better solution to the problem location step,to achieve a continuous path recognition ordinary camera,makes the smart car reality applications possible.Through a large number of experimental test results show that the of intelligent vehicle system can quickly track smoothly on the track with the black guide lines,it has strong stability and anti-jamming capability.
出处
《国外电子测量技术》
2015年第8期87-89,共3页
Foreign Electronic Measurement Technology
基金
陕西省自然科学基金(2014JM8357
2014JQ2-6031)
延安科学技术局科技规划(2013-kg15
2012kg-07)
延安大学青年基金(YG2013-15
YG2011-16)项目
