Algoritmy pro detekci dělící čáry v obraze

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Tesař, Radek

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Vysoká škola báňská - Technická univerzita Ostrava

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Abstract

This work deals with the development of Lane detection Algorithms in pictures, captured inside the car. Typical application is the monitoring lanes, or rail. The aim is to achieve reasonable results using limited resources (CPU, memory), so that the resulting product could be used for example as an autonomous control of a small car in the FRC competition. The challenge in the competition is to go as fast as possible at unknown number track. For control and image processing is expected to use some of the many modern processors ARM Cortex, Linux, or Windows CE as an operating system and imaging library for OpenCV.

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Import 11/07/2012

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Open CV, Linux, Windows CE, processor, Lane detection, Algorithm, Edge Algorithm, Canny, Hough transformation, Binary picture, picture detection, weighted average, moving average.

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