基于智能车辆的多传感器数据融合算法研究与分析综述

Research and Analysis on Multi-sensor Data Fusion Algorithm Based on Intelligent Vehicle

多传感器数据融合是20世纪80年代发展起来的一门新技术,将智能车辆中多个传感器采集的数据进行合成,并充分利用多感器数据间的冗余和互补特性,从而得出准确的环境信息用于地面车辆定位、车辆跟踪、车辆导航等。文章通过对现有的数据融合方法进行分类和归纳总结,对多传感器数据融合算法的研究和数据融合技术的应用情况进行阐述,为智能车辆多传感数据融合方面的研究提供参考。

Multi-sensor data fusion is a new technology which developed in 1980s. It can be used to synthesize the intelligent vehicle data that collected by multiple sensors,and take advantage of redundancy and complementary between the multi-sensor data to arrive an accurate environmental information for ground vehicle location,vehicle tracking, vehicle navigation etc. Based on classification and summary of existing data fusion methods, this paper elaborates the research on multi-sensor data fusion algorithm and the application of data fusion technology. This paper could provide reference for research of multi-sensor data fusion on intelligent vehicles.