信息融合技术及其在智能交通领域中的应用

Application of Information Fusion Technologies in Intelligent Traffic Field

对信息融合技术及其在智能交通中的应用进行系统性概述。对常用的信息融合技术进行总结,归纳出5类信息融合技术,即神经网络类、Bayes融合类、推理融合类、空间融合类、自适应滤波类等。依据5种不同的交通应用场景,即信息检测与采集、交通流分析、分类识别、诱导控制和定位导航,对信息融合技术在智能交通中的应用进行文献综述,并指出随着交通应用场景的不同,融合技巧和算法也会随之不同。

This paper systematically outlines the application of information fusion technologies in intelligent traffic, and summarizes common information fusion technologies to conclude 5 categories of information fusion technologies, i.e. neural network, Bayes fusion, reasoning fusion, spatial fusion and self-adaptive filter. Based on 5 different traffic application scenarios, i. e. information detection and acquisition, analysis of traffic flow, classification and recognition, induction control and location and navigation, the paper conducts literature summary of the application of information fusion technologies in intelligent traffic, and points out that fusion skills and algorithms vary with different traffic application scenarios.