Dynamic situation and threat assessment for collision warning systems: the EUCLIDE approach

Polychronopoulos, A; Tsogas, M; Amditis, A; Scheunert, U; Andreone, L; Tango, F

dc.contributor.author	Polychronopoulos, A	en
dc.contributor.author	Tsogas, M	en
dc.contributor.author	Amditis, A	en
dc.contributor.author	Scheunert, U	en
dc.contributor.author	Andreone, L	en
dc.contributor.author	Tango, F	en
dc.date.accessioned	2014-03-01T02:49:38Z
dc.date.available	2014-03-01T02:49:38Z
dc.date.issued	2004	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34658
dc.subject	Active Safety	en
dc.subject	Infrared	en
dc.subject	Levels of Abstraction	en
dc.subject	Threat Assessment	en
dc.subject	Vehicle Tracking	en
dc.subject	Real Time	en
dc.title	Dynamic situation and threat assessment for collision warning systems: the EUCLIDE approach	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IVS.2004.1336458	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IVS.2004.1336458	en
heal.publicationDate	2004	en
heal.abstract	Situation and threat assessment is considered as the highest level of abstraction in the vehicle tracking processes. In this paper, a broad discussion is introduced on algorithms for active safety functions, whilst a new dynamic algorithm is proposed. This approach handles all objects' states as dynamic stochastic variables and based on a Kalman approach calculates in real time all trajectories	en
heal.journalName	Intelligent Vehicle, IEEE Symposium	en
dc.identifier.doi	10.1109/IVS.2004.1336458	en