Unscented Kalman filter design for curvilinear motion models suitable for automotive safety applications

Tsogas, M; Polychronopoulos, A; Amditis, A

dc.contributor.author	Tsogas, M	en
dc.contributor.author	Polychronopoulos, A	en
dc.contributor.author	Amditis, A	en
dc.date.accessioned	2014-03-01T02:49:58Z
dc.date.available	2014-03-01T02:49:58Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34833
dc.subject	State Estimation	en
dc.subject	Tracking System	en
dc.subject	unscented kalman filter	en
dc.subject	kalman filter	en
dc.title	Unscented Kalman filter design for curvilinear motion models suitable for automotive safety applications	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICIF.2005.1592006	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICIF.2005.1592006	en
heal.publicationDate	2005	en
heal.abstract	Research in automotive safety leads to the conclusion that modern vehicle should utilize active and passive sensors for the recognition of the environment surrounding them. Thus, the development of tracking systems utilizing efficient state estimators is very important. In this case, problems such as moving platform carrying the sensor and maneuvering targets could introduce large errors in the state estimation	en
heal.journalName	International Conference on Information Fusion	en
dc.identifier.doi	10.1109/ICIF.2005.1592006	en