交通信息与安全2016，Vol.34Issue(6)：22-29,8.DOI:10.3963/j.issn 1674-4861.2016.06.004
人车碰撞风险识别及智能车辆控制系统
A System for Risk Identification of Pedestrian-vehicular Collisions and Intelligent Control
摘要
Abstract
To avoid pedestrian-vehicular collision,systems for pedestrian detection and collision warning are used in intelligent driver assistance systems.However,the warning systems can be useless under impaired driving.In this study,based on a pedestrian detection system,an intelligent control system for vehicles is proposed to avoid pedestrian-vehicular collisions.First,Histogram of Oriented Gradient (HOG) and Support Vector Machine (SVM) are applied to detect pedestrians.Risk of pedestrian-vehicular collisions is predicted by using an algorithm of risk identification.Then,based on a vehicle dynamics model,speed of vehicles is adaptively controlled under different risk levels.The results show that the developed system can detect pedestrians quickly and accurately,its accuracy can reach 89％ in real-time under dynamic scenes.The risk warning system can control the vehicle to take a safe and stable brake under emergencies,thus pedestrian-vehicular collisions can be effectively avoided.关键词
交通安全/行人检测/风险判别/车速控制/信息融合Key words
traffic safety/pedestrian detection/risk identification/speed control分类
交通工程引用本文复制引用
孟柯,吴超仲,陈志军,吕能超,邓超,刘钢..人车碰撞风险识别及智能车辆控制系统[J].交通信息与安全,2016,34(6):22-29,8.基金项目
国家自然科学基金项目(51208401)、交通运输部应用基础研究项目(2014319811200)、国家科技支撑计划项目(2014BAG01B0503)、中央高校基本科研业务费专项基金项目(133244003)、武汉理工大学自主创新研究基金项目(2016-ITS-B1-03)资助. （51208401）
