期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：6
页码：12229
DOI：10.15680/IJIRCCE.2017.0506150
出版社：S&S Publications
摘要：The précised detection and classification of moving objects is a important aspect of advanced driverassistance systems. By including the object classification from multiple sensor detections as a major component of theobject’s representation and the perception process, we can improve the perceived model of the environment. At first,we define a composite object representation to include information in the main object’s description. At Second, wepropose a complete perception fusion architecture based on the framework to solve the detection and tracking ofmoving objects problem by adding the composite representation and uncertainty events management. At last, weintegrate our fusion approach in a real-time application inside a vehicle demonstrator which includes main sensors:radar and camera. We test our fusion system using real data from different driving scenarios and more focusing on fourobjects of interest: like pedestrian, truck and other vehicles.
