Combined lane and road attributes extraction by fusing data from digital map, laser scanner and camera

Tsogas, M; Floudas, N; Lytrivis, P; Amditis, A; Polychronopoulos, A

dc.contributor.author	Tsogas, M	en
dc.contributor.author	Floudas, N	en
dc.contributor.author	Lytrivis, P	en
dc.contributor.author	Amditis, A	en
dc.contributor.author	Polychronopoulos, A	en
dc.date.accessioned	2014-03-01T02:01:08Z
dc.date.available	2014-03-01T02:01:08Z
dc.date.issued	2011	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29150
dc.subject	Digital Mapping	en
dc.subject	Laser Scanner	en
dc.subject	Object Detection	en
dc.subject	Reliability Function	en
dc.subject	Vehicle Dynamics	en
dc.subject	Vision System	en
dc.subject	Digital Mapping Camera	en
dc.title	Combined lane and road attributes extraction by fusing data from digital map, laser scanner and camera	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.inffus.2010.01.005	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.inffus.2010.01.005	en
heal.publicationDate	2011	en
heal.abstract	It is well recognized that knowledge on the lane and road geometry is a prerequisite for reliable function of the majority of automotive safety applications, especially those that deal with vehicles’ lateral control. An effort to exploit all the available road and lane related information is presented in this work. It includes redundant information – from secondary sensor detections, e.g.	en
heal.journalName	Information Fusion	en
dc.identifier.doi	10.1016/j.inffus.2010.01.005	en