Multiple sensor collision avoidance system for automotive applications using an IMM approach for obstacle tracking

Amditis, A; Polychronopoulos, A; Karaseitanidis, I; Katsoulis, G; Bekiaris, E

dc.contributor.author	Amditis, A	en
dc.contributor.author	Polychronopoulos, A	en
dc.contributor.author	Karaseitanidis, I	en
dc.contributor.author	Katsoulis, G	en
dc.contributor.author	Bekiaris, E	en
dc.date.accessioned	2014-03-01T02:49:10Z
dc.date.available	2014-03-01T02:49:10Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34363
dc.subject	Collision Avoidance	en
dc.subject	Data Association	en
dc.subject	Far Infrared	en
dc.subject	Interacting Multiple Model	en
dc.subject	Millimeter Wave	en
dc.subject	Obstacle Detection	en
dc.subject	Collision Avoidance Systems	en
dc.subject	Data Fusion	en
dc.subject	kalman filter	en
dc.title	Multiple sensor collision avoidance system for automotive applications using an IMM approach for obstacle tracking	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICIF.2002.1020890	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICIF.2002.1020890	en
heal.publicationDate	2002	en
heal.abstract	In this paper a multi-sensor collision avoidance system is presented for automotive applications. For obstacle detection and tracking, millimeter wave (MMW) radar and a far infrared (FIR) camera are chosen in order to provide object lists to the sensors' trackers respectively. The algorithm for track management, data association, filtering and prediction for both sensors is also presented, focusing on Kalman	en
heal.journalName	International Conference on Information Fusion	en
dc.identifier.doi	10.1109/ICIF.2002.1020890	en