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基于视觉的缩微智能车跟驰问题研究
引用本文:毕建权,张耀鹏,杨奇才,杜静.基于视觉的缩微智能车跟驰问题研究[J].舰船电子工程,2014(2):91-94,150.
作者姓名:毕建权  张耀鹏  杨奇才  杜静
作者单位:洛阳电子电子装备试验中心;平顶山市工业学校;
摘    要:论文在基于简单视觉的缩微智能车自主驾驶的基础上提出一种完全基于视觉检测的多车道车辆跟驰交互模型,根据缩微智能车机械性能要求,通过仿真得到车辆跟驰模型参数,并通过缩微智能车跟驰实验验证跟驰模型及模型参数的有效性,为进一步群缩微智能车协同驾驶、交通仿真和评估研究提供理论支持和技术支撑.此外,三维缩微道路环境和智能车可为智能交通系统仿真研究提供一种兼具计算机仿真和场地实验优势的缩微实验新平台,可降低实验成本,提高交通仿真的可信度.

关 键 词:视觉导航  车辆跟驰  缩微智能车  制动距离

Car-Following System of the Visual-Based Micro-Vehicle
BI Jianquan,ZHANG Yaopeng,YANG Qicai,DU Jing.Car-Following System of the Visual-Based Micro-Vehicle[J].Ship Electronic Engineering,2014(2):91-94,150.
Authors:BI Jianquan  ZHANG Yaopeng  YANG Qicai  DU Jing
Institution:1. Luoyang Electronic Equipment Test Center, Luoyang 471003) (2. Technical School of Ping Ding Shah, Pingdingshan 467000)
Abstract:A new visual-based car-following interaction model on multi-lane with the intelligent micro-vehicle is pro- posed. According to the mechanical performance requirement of the micro-vehicle, the right car-following model parameters is got through the simulation and validate the validity of the car-following model by the intelligent micro-vehicle interaction experiment. The research can provide theoretical and technical support for the collaborative driving, traffic simulation and e- valuation. In addition, the three dimensional micro-road environment and intelligent vehicles can also use for the intelligent transportation system research which can reduce the cost and improve the traffic simulation credibility.
Keywords:visual navigation  car-following  intelligent micro-vehicles  braking distance
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