南京理工大学学报（自然科学版）2012，Vol.36Issue(4)：557-560,4.
基于MHT模型的毫米波雷达车辆检测方法
Vehicle Detection Method Based on MHT Model Using Millimeter-wave Radar
摘要
Abstract
To detect vehicles in intelligent vehicle system, a vehicle detection method based on multiple hypothesis tracking(MHT)is proposed. The relationship between measurement sets collected by millimeter-wave radar and target set is defined under the framework of MHT. A generalized probability data association (GPDA) algorithm is used to find the acceptable target set from all the measurement data sets. After that, a probability tree is designed to maintain the target sets. Results prove that this method can accurately detect the vehicle ahead far or near or that in dark night with a poor light environment, which overcomes the shortcoming of the vision-based vehicle detection method that is sensitive to target's distance and ambient light. Besides, this method also achieves good results in the maintenance of targets.关键词
车辆检测/毫米波雷达/多假设跟踪模型/广义概率数据关联算法/概率树Key words
vehicle detection/ millimeter-wave radars/ multiple hypothesis tracking model/ generalized probability data association algorithm/ probability tree分类
信息技术与安全科学引用本文复制引用
胡彬,赵春霞..基于MHT模型的毫米波雷达车辆检测方法[J].南京理工大学学报（自然科学版）,2012,36(4):557-560,4.基金项目
国家自然科学基金重大研究计划重点资助项目(90820306) （90820306）
青年科学基金项目(61101197) （61101197）
