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Povzetek

Ključne besede

Podatki

Jezik:	Slovenski jezik
Leto izida:	2011
Tipologija:	2.11 - Diplomsko delo
Organizacija:	UL FRI - Fakulteta za računalništvo in informatiko
Založnik:	[G. Jeraj]
UDK:	004(043.2)
COBISS:	8264020
Št. ogledov:	49
Št. prenosov:	3
Ocena:	0 (0 glasov)
Metapodatki:

Ostali podatki

Sekundarni jezik:	Angleški jezik
Sekundarni naslov:	[Traffic sign recognition system]
Sekundarni povzetek:	More and more devices are used in assisting drivers on the road. One of them is traffic sign recognition system. It uses a front mounted video camera and informs the driver of incoming dangers and restrictions on the road, mainly by speech or special dashboard display. Traffic sign recognition system is used to avoid accidents, caused by drivers inability to properly recognize traffic sign. They are also a major part of autonomous vehicle systems since they are responsible for providing safe driving instructions. We proposed an intelligent traffic sign recognition system, which is based on two main parts: traffic sign location and classiffication module. First one performs color segmentations and locates traffic sign key points, which are later used to form traffic sign shape. Second module then uses neural network approach to classify shapes into traffic signs.
Sekundarne ključne besede:	neural networks;traffic signs;convolution;masks;traffic sign;classification;computer science;diploma;
Vrsta datoteke:	application/pdf
Vrsta dela (COBISS):	Diplomsko delo
Komentar na gradivo:	Univ. v Ljubljani, Fak. za računalništvo in informatiko
Strani:	58 str.
ID:	23936574