<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

Real-Time Lane Line Tracking Algorithm to Mini Vehicles

Transport and Telecommunication Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"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...

Real-Time Lane Line Tracking Algorithm to Mini Vehicles

Online veröffentlicht: 20. Nov. 2021

Seitenbereich: 461 - 470

DOI: https://doi.org/10.2478/ttj-2021-0036

Schlüsselwörter
autonomous vehicle, lane line detection, lane line tracking, Hough transformation

© 2021 Jozsef Suto, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Real-Time Lane Line Tracking Algorithm to Mini Vehicles

Online veröffentlicht: 20. Nov. 2021

Seitenbereich: 461 - 470

DOI: https://doi.org/10.2478/ttj-2021-0036

Schlüsselwörterautonomous vehicle, lane line detection, lane line tracking, Hough transformation

© 2021 Jozsef Suto, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
autonomous vehicle, lane line detection, lane line tracking, Hough transformation