Research on Information Fusion of Infrared and Radar Sensor Based on SVM

摘要：

The arithmetic idea of infrared sensor and radar tracking fusion is : getting solar by infrared image processing, time matching, synchronization fusion with radar data, updating object state by fusion data filtering. The fusion combines matching scores of individual obstacle recognition modules in order to improve the systems final decision. The obtained bimodal feature vector is used as input to an SVM-based classification scheme. We can found from computer simulation results that the tracking precision improved by information fusion, and mobility was responded in short time.

关键词： radar infrared sensor information fusion SVM

作者: Liu Sheng Wang Mengjun Zhang Lanyong

作者单位: College of Automation, Harbin Engineering University Harbin, China Hanguang Industry Company Ltd of Hebei Handan, China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 98-101

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）