000149699 001__ 149699
000149699 005__ 20190330065628.0
000149699 0247_ $$2doi$$a10.1007/s00138-009-0243-6
000149699 022__ $$a1432-1769
000149699 02470 $$2ISI$$a000287205100017
000149699 037__ $$aARTICLE
000149699 245__ $$aReal-time vehicle tracking for driving assistance
000149699 260__ $$c2011
000149699 269__ $$a2011
000149699 336__ $$aJournal Articles
000149699 520__ $$aDetecting car taillights at night is a task which can nowadays be accomplished very fast on cheap hardware. We rely on such detections to build a vision-based system that, coupling them in a rule-based fashion, is able to detect and track vehicles. This allows the generation of an interface that informs a driver of the relative distance and velocity of other vehicles in real time and triggers a warning when a potentially dangerous situation arises. We demonstrate the system using sequences shot using a camera mounted behind a car’s windshield.
000149699 6531_ $$aVehicle tracking
000149699 6531_ $$aReal-time
000149699 6531_ $$aLight detection
000149699 700__ $$aFossati, Andrea
000149699 700__ $$0243881$$aSchönmann, Patrick$$g147366
000149699 700__ $$0240252$$aFua, Pascal$$g112366
000149699 773__ $$j22$$k2$$q439–448$$tMachine Vision and Applications
000149699 8564_ $$s2157472$$uhttps://infoscience.epfl.ch/record/149699/files/FossatiSF10.pdf$$yPreprint$$zn/a
000149699 909C0 $$0252087$$pCVLAB$$xU10659
000149699 909CO $$ooai:infoscience.tind.io:149699$$pIC$$particle$$qGLOBAL_SET
000149699 917Z8 $$x169221
000149699 937__ $$aEPFL-ARTICLE-149699
000149699 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000149699 980__ $$aARTICLE