Data fusion in multi sensor platforms for wide-area perception

Polychronopoulos, A; Floudas, N; Amditis, A; Bank, D; Broek, B

dc.contributor.author	Polychronopoulos, A	en
dc.contributor.author	Floudas, N	en
dc.contributor.author	Amditis, A	en
dc.contributor.author	Bank, D	en
dc.contributor.author	Broek, B	en
dc.date.accessioned	2014-03-01T02:50:15Z
dc.date.available	2014-03-01T02:50:15Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34990
dc.subject	Data Association	en
dc.subject	Moving Object	en
dc.subject	Sensor Data Fusion	en
dc.subject	Data Fusion	en
dc.subject	Field of View	en
dc.title	Data fusion in multi sensor platforms for wide-area perception	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IVS.2006.1689663	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IVS.2006.1689663	en
heal.publicationDate	2006	en
heal.abstract	There is a strong belief that the improvement of preventive safety applications and the extension of their operative range are achieved by the deployment of multiple sensors with wide fields of view (FOV). The paper contributes to the solution of the problem and introduces distributed sensor data fusion architectures and algorithms for an efficient deployment of multiple sensors that give	en
heal.journalName	Intelligent Vehicle, IEEE Symposium	en
dc.identifier.doi	10.1109/IVS.2006.1689663	en