Development an approach to fusion of an anti-collision system

Author

Derbel, Ahmed ; Boujelbene, Younes

Author_Institution

Unit of Res. in Appl. Econ., Fac. of Econ. Sci. & Manage. of Sfax, Sfax, Tunisia

fYear

2014

fDate

1-3 May 2014

Firstpage

47

Lastpage

52

Abstract

In most cases, the man is the cause of the accident. The work presented in this article to develop an anti-collision system, which aims to assist the driver and reduce road risks. The sensors are of great importance in this system, they have provided for each measurement time, a list of objects on the distance and angular position. We transformed the data into a mass of belief to calculate for each pair (known object, perceived object) a mass belief that indicates the relationship between the two objects hanging two instants of time (t, t +1). Then, we applied the algorithm of association objects in order to know what objects tracking, appeared, disappeared over time and display the results in the dashboard. This task helps the driver to know what happened in the external environment.

Keywords

belief maintenance; collision avoidance; driver information systems; sensor fusion; anti-collision system; association objects algorithm; belief functions theory; dashboard; driver assistance systems; mass belief; object tracking; road risk reduction; Accidents; Economics; Reliability theory; Sensor systems; Vehicles; Belief Function; Data Fusion; Decision Support System; Driver Assistance Systems; Intelligent Transport System;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Logistics and Transport (ICALT), 2014 International Conference on

Conference_Location

Hammamet

Type

conf

DOI

10.1109/ICAdLT.2014.6864080

Filename

6864080