Real-Time Lane Line Tracking Algorithm to Mini Vehicles

Autonomous navigation is important not only in autonomous cars but also in other transportation systems. In many applications, an autonomous vehicle has to follow the curvature of a real or artificial road or in other words lane lines. In those application, the key is the lane detection. In this pap...

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Autor principal:	Suto Jozsef
Formato:	article
Lenguaje:	EN
Publicado:	Sciendo 2021
Materias:	autonomous vehicle lane line detection lane line tracking hough transformation Transportation and communication K4011-4343
Acceso en línea:	https://doaj.org/article/0cecf9d9d0fc4a31b1d6634b8f7b75db
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id	oai:doaj.org-article:0cecf9d9d0fc4a31b1d6634b8f7b75db
record_format	dspace
spelling	oai:doaj.org-article:0cecf9d9d0fc4a31b1d6634b8f7b75db2021-12-05T14:11:11ZReal-Time Lane Line Tracking Algorithm to Mini Vehicles1407-617910.2478/ttj-2021-0036https://doaj.org/article/0cecf9d9d0fc4a31b1d6634b8f7b75db2021-11-01T00:00:00Zhttps://doi.org/10.2478/ttj-2021-0036https://doaj.org/toc/1407-6179Autonomous navigation is important not only in autonomous cars but also in other transportation systems. In many applications, an autonomous vehicle has to follow the curvature of a real or artificial road or in other words lane lines. In those application, the key is the lane detection. In this paper, we present a real-time lane line tracking algorithm mainly designed to mini vehicles with relatively low computation capacity and single camera sensor. The proposed algorithm exploits computer vision techniques in combination with digital filtering. To demonstrate the performance of the method, experiments are conducted in an indoor, self-made test track where the effect of several external influencing factors can be observed. Experimental results show that the proposed algorithm works well independently of shadows, bends, reflection and lighting changes.Suto JozsefSciendoarticleautonomous vehiclelane line detectionlane line trackinghough transformationTransportation and communicationK4011-4343ENTransport and Telecommunication, Vol 22, Iss 4, Pp 461-470 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	autonomous vehicle lane line detection lane line tracking hough transformation Transportation and communication K4011-4343
spellingShingle	autonomous vehicle lane line detection lane line tracking hough transformation Transportation and communication K4011-4343 Suto Jozsef Real-Time Lane Line Tracking Algorithm to Mini Vehicles
description	Autonomous navigation is important not only in autonomous cars but also in other transportation systems. In many applications, an autonomous vehicle has to follow the curvature of a real or artificial road or in other words lane lines. In those application, the key is the lane detection. In this paper, we present a real-time lane line tracking algorithm mainly designed to mini vehicles with relatively low computation capacity and single camera sensor. The proposed algorithm exploits computer vision techniques in combination with digital filtering. To demonstrate the performance of the method, experiments are conducted in an indoor, self-made test track where the effect of several external influencing factors can be observed. Experimental results show that the proposed algorithm works well independently of shadows, bends, reflection and lighting changes.
format	article
author	Suto Jozsef
author_facet	Suto Jozsef
author_sort	Suto Jozsef
title	Real-Time Lane Line Tracking Algorithm to Mini Vehicles
title_short	Real-Time Lane Line Tracking Algorithm to Mini Vehicles
title_full	Real-Time Lane Line Tracking Algorithm to Mini Vehicles
title_fullStr	Real-Time Lane Line Tracking Algorithm to Mini Vehicles
title_full_unstemmed	Real-Time Lane Line Tracking Algorithm to Mini Vehicles
title_sort	real-time lane line tracking algorithm to mini vehicles
publisher	Sciendo
publishDate	2021
url	https://doaj.org/article/0cecf9d9d0fc4a31b1d6634b8f7b75db
work_keys_str_mv	AT sutojozsef realtimelanelinetrackingalgorithmtominivehicles
_version_	1718371280032366592

Real-Time Lane Line Tracking Algorithm to Mini Vehicles

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