A survey of filtering techniques for vehicle tracking by radar equipped automotive platforms

Floudas, N; Polychronopoulos, A; Amditis, A

dc.contributor.author	Floudas, N	en
dc.contributor.author	Polychronopoulos, A	en
dc.contributor.author	Amditis, A	en
dc.date.accessioned	2014-03-01T02:49:56Z
dc.date.available	2014-03-01T02:49:56Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34804
dc.subject	Non-linear Filtering	en
dc.subject	Particle Filter	en
dc.subject	Position Estimation	en
dc.subject	Radial Velocity	en
dc.subject	Time Delay	en
dc.subject	Vehicle Tracking	en
dc.subject	Velocity Estimation	en
dc.subject	Field of View	en
dc.subject	kalman filter	en
dc.title	A survey of filtering techniques for vehicle tracking by radar equipped automotive platforms	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICIF.2005.1592024	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICIF.2005.1592024	en
heal.publicationDate	2005	en
heal.abstract	In modern automotive safety applications, the use of radar technology seems to be a promising technique. Vehicles equipped with on board radar sensors aim at detecting moving or stationary objects in the sensor's field of view and identifying critical collision situations. Thus, reliable tracking is of crucial importance for efficiency improvement in such systems. The presence of non linearities in	en
heal.journalName	International Conference on Information Fusion	en
dc.identifier.doi	10.1109/ICIF.2005.1592024	en