title: Ð¡Ð¸ÑÑÐµÐ¼Ð° ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾Ð¹ ÑÐ°Ð·Ð¼ÐµÑÐºÐ¸ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Computer vision system for road surface marking recognition
Creators: name: ÐÐ°Ð½Ð¸ÑÐµÐ²ÑÐºÐ¸Ð¹, ÐÐ¸ÐºÐ¸ÑÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ðµ Ð·ÑÐµÐ½Ð¸Ðµ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð²ÑÑÑÐ°Ð¸Ð²Ð°ÐµÐ¼ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð´Ð¾ÑÐ¾Ð¶Ð½Ð°Ñ ÑÐ°Ð·Ð¼ÐµÑÐºÐ°
computer vision
machine learning
embedded systems
neural networks
road surface marking

description: ÐÐ±ÑÐµÐºÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ â ÑÐ¸ÑÑÐµÐ¼Ñ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ â ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾Ð¹ ÑÐ°Ð·Ð¼ÐµÑÐºÐ¸. Ð ÑÐ°Ð±Ð¾ÑÐµ Ð¿ÑÐ¾Ð²ÐµÐ´ÑÐ½ Ð¾Ð±Ð·Ð¾Ñ Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ Ð°ÐºÑÑÐ°Ð»ÑÐ½ÑÑ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð¾Ð² Ð´Ð»Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°ÑÐ¸ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾Ð¹ ÑÐ°Ð·Ð¼ÐµÑÐºÐ¸. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾Ð¹ ÑÐ°Ð·Ð¼ÐµÑÐºÐ¸ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ Ð¸ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, ÑÑÐµÐ´Ð¸ ÐºÐ¾ÑÐ¾ÑÑÑ Ð²ÑÐ±ÑÐ°Ð½ ÑÐ¾Ñ, ÐºÐ¾ÑÐ¾ÑÑÐ¹ Ð¾Ð±ÐµÑÐ¿ÐµÑÐ¸Ð²Ð°ÐµÑ Ð½Ð°Ð¸Ð±Ð¾Ð»ÑÑÑÑ Ð´Ð°Ð»ÑÐ½Ð¾ÑÑÑ, ÑÐ¾ÑÐ½Ð¾ÑÑÑ Ð¸ ÑÐºÐ¾ÑÐ¾ÑÑÑ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð¾Ð±Ð·Ð¾Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ Ð²Ð¸Ð´Ð¾Ð² Ð²ÑÑÑÐ°Ð¸Ð²Ð°ÐµÐ¼ÑÑ ÑÐ¸ÑÑÐµÐ¼. ÐÐ´Ð½Ð¾Ð¿Ð»Ð°ÑÐ½ÑÐµ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÑ Ð²ÑÐ´ÐµÐ»ÐµÐ½Ñ ÐºÐ°Ðº Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ð½ÑÐµ Ð°Ð¿Ð¿Ð°ÑÐ°ÑÐ½ÑÐµ ÑÐµÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾Ð¹ ÑÐ°Ð·Ð¼ÐµÑÐºÐ¸. Ð Ð°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¾Ð´Ð½Ð¾Ð¿Ð»Ð°ÑÐ½ÑÑ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ¾Ð², Ð¸ Ð²ÑÐ±ÑÐ°Ð½Ð° Ð°Ð¿Ð¿Ð°ÑÐ°ÑÐ½Ð°Ñ Ð±Ð°Ð·Ð° Ð´Ð»Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ ÑÐ¸ÑÑÐµÐ¼Ñ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð·ÑÐµÐ½Ð¸Ñ. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð². Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° Ð¾Ð±ÐµÑÐ¿ÐµÑÐ¸Ð²Ð°ÐµÑ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾Ð¹ ÑÐ°Ð·Ð¼ÐµÑÐºÐ¸ Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÑÑ Ð´Ð¾ 91% Ð½Ð° ÑÐ°ÑÑÑÐ¾ÑÐ½Ð¸Ð¸ Ð´Ð¾ 36Â Ð¼ÐµÑÑÐ¾Ð². ÐÑÐµÐ¼Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¾Ð´Ð½Ð¾Ð³Ð¾ ÐºÐ°Ð´ÑÐ° ÑÐ¾ÑÑÐ°Ð²Ð»ÑÐµÑ 3,75Â ÑÐµÐºÑÐ½Ð´Ñ. ÐÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ñ ÑÐ¿Ð¾ÑÐ¾Ð±Ñ ÑÐ²ÐµÐ»Ð¸ÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾Ð¹ ÑÐ°Ð·Ð¼ÐµÑÐºÐ¸.
description: The object of the graduate qualification work is computer vision and machine learning systems. The subject of the graduate qualification work is the development a computer vision system for road surface marking recognition. In this work an overview of the most relevant approaches for road surface marking recognition has been provided. Road surface marking recognition algorithms using computer vision and machine learning have been developed. Among them the one that provides the greatest distance, accuracy and speed of recognition has been chosen. An overview of various types of embedded systems has been carried out. Single-board computers have been selected as the most suitable hardware solutions for implementing a road surface marking recognition system. The models of single-board computers have been considered, and the hardware base for the implementation of the computer vision system has been chosen. The developed system has been tested and the obtained results have been analyzed. The developed system provides recognition of road surface markings with an accuracy of up to 91% at a distance of up to 36Â meters. The processing time of a single frame is 3.75Â seconds. Methods for increasing the performance of the developed road surface marking recognition system have been proposed.