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izvor podataka: crosbi

Computer vision-based advanced driver assistance systems (CROSBI ID 617238)

Prilog sa skupa u zborniku | stručni rad | međunarodna recenzija

Harbaš, Iva ; Banić, Nikola ; Jurić, Darko ; Lončarić, Sven ; Subašić, Marko Computer vision-based advanced driver assistance systems // Proceedings of KoREMA / Šakić, Željko (ur.). Zagreb, 2014. str. 17-20

Podaci o odgovornosti

Harbaš, Iva ; Banić, Nikola ; Jurić, Darko ; Lončarić, Sven ; Subašić, Marko

engleski

Computer vision-based advanced driver assistance systems

Vision is the most important sense used for driving and therefore computer vision algorithms are the most critical for Advanced Driver Assistance System (ADAS). In this paper, we present an overview of the current research results of the Image Processing Group in the area of traffic-related computer vision methods. First, we present a method for headlight and taillight detection, which can be used in systems for headlight control and forward collision warning. Second, we present a method for detection of roadside vegetation, which can be used for roadside maintenance and detection of vegetation- like obstacles in traffic. Computational color constancy is important for computer vision systems to achieve invariance to scene illumination. Third, a method for achieving color constancy is presented in this paper.

advanced driver assistance systems ; vegetation detection ; night-time vehicle detection ; color constancy

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Podaci o prilogu

17-20.

2014.

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objavljeno

978-953-6037-68-1

Podaci o matičnoj publikaciji

Proceedings of KoREMA

Šakić, Željko

Zagreb:

Podaci o skupu

34th Conference on Transportation Systems with International Participation AUTOMATION IN TRANSPORTATION 2014

predavanje

05.11.2014-09.11.2014

Dubrovnik, Hrvatska

Povezanost rada

Računarstvo