Prepoznavanje prometnih znakov v slikah

Abstract

Keywords

Data

Language:	Slovenian
Year of publishing:	2011
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FRI - Faculty of Computer and Information Science
Publisher:	[G. Jeraj]
UDC:	004(043.2)
COBISS:	8264020
Views:	49
Downloads:	3
Average score:	0 (0 votes)
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Other data

Secondary language:	English
Secondary title:	[Traffic sign recognition system]
Secondary abstract:	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.
Secondary keywords:	neural networks;traffic signs;convolution;masks;traffic sign;classification;computer science;diploma;
File type:	application/pdf
Type (COBISS):	Undergraduate thesis
Thesis comment:	Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages:	58 str.
ID:	23936574