Prediction of unintentional lane departure using evidence theory

Polychronopoulos, A; Koutsimanis, C; Tsogas, M; Amditis, A

dc.contributor.author	Polychronopoulos, A	en
dc.contributor.author	Koutsimanis, C	en
dc.contributor.author	Tsogas, M	en
dc.contributor.author	Amditis, A	en
dc.date.accessioned	2014-03-01T02:49:57Z
dc.date.available	2014-03-01T02:49:57Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34822
dc.subject	a priori knowledge	en
dc.subject	Change Detection	en
dc.subject	Decision Fusion	en
dc.subject	dempster shafer theory	en
dc.subject	Evidence Theory	en
dc.subject	Inertial Sensor	en
dc.subject	Information Sources	en
dc.subject	Support System	en
dc.subject	Mass Function	en
dc.subject	Real Time	en
dc.title	Prediction of unintentional lane departure using evidence theory	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICIF.2005.1592019	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICIF.2005.1592019	en
heal.publicationDate	2005	en
heal.abstract	The scope of this paper is the development of algorithms for driving support systems for safe lane changing maneuvers (lane change assist system) and safe maintenance of the vehicle's path (lane/road departure warning system). The proposed algorithm can predict unintentional lane changes before they are performed by the driver using information from multiple sources. The prediction of unintentional lane changes	en
heal.journalName	International Conference on Information Fusion	en
dc.identifier.doi	10.1109/ICIF.2005.1592019	en