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Sensors 2016, 16(11), 1935; doi:10.3390/s16111935

Real-Time Lane Region Detection Using a Combination of Geometrical and Image Features

Intelligent Systems Laboratory, Graduate School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea
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Author to whom correspondence should be addressed.
Academic Editor: Felipe Jimenez
Received: 28 August 2016 / Revised: 11 November 2016 / Accepted: 11 November 2016 / Published: 17 November 2016
(This article belongs to the Special Issue Sensors for Autonomous Road Vehicles)
View Full-Text   |   Download PDF [3865 KB, uploaded 17 November 2016]   |  

Abstract

Over the past few decades, pavement markings have played a key role in intelligent vehicle applications such as guidance, navigation, and control. However, there are still serious issues facing the problem of lane marking detection. For example, problems include excessive processing time and false detection due to similarities in color and edges between traffic signs (channeling lines, stop lines, crosswalk, arrows, etc.). This paper proposes a strategy to extract the lane marking information taking into consideration its features such as color, edge, and width, as well as the vehicle speed. Firstly, defining the region of interest is a critical task to achieve real-time performance. In this sense, the region of interest is dependent on vehicle speed. Secondly, the lane markings are detected by using a hybrid color-edge feature method along with a probabilistic method, based on distance-color dependence and a hierarchical fitting model. Thirdly, the following lane marking information is extracted: the number of lane markings to both sides of the vehicle, the respective fitting model, and the centroid information of the lane. Using these parameters, the region is computed by using a road geometric model. To evaluate the proposed method, a set of consecutive frames was used in order to validate the performance. View Full-Text
Keywords: real-time lane region detection; collision risk region; lane marking hybrid-based strategy; hierarchical fitting model; distance-based color-dependent clustering real-time lane region detection; collision risk region; lane marking hybrid-based strategy; hierarchical fitting model; distance-based color-dependent clustering
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Cáceres Hernández, D.; Kurnianggoro, L.; Filonenko, A.; Jo, K.H. Real-Time Lane Region Detection Using a Combination of Geometrical and Image Features. Sensors 2016, 16, 1935.

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