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2021 | OriginalPaper | Chapter

31. Lane Detection Using Image Processing for Driving Assistance

Authors : Atzroulnizam Abu, Mohd Rohaimi Mohd Dahalan, Ahmad Zawawi Jamaluddin, Dzul Fadhli Hisyam Mat Daut

Published in: Advanced Engineering for Processes and Technologies II

Publisher: Springer International Publishing

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Abstract

The number of traffic accidents and injuries continues to increase year by year which causes loss of life and assets. The key facts from the World Health Organization (WHO), approximately 1.35 million people die each year as a result of road traffic crashes. Under this condition, to reduce the number of deadly accidents, the lane detection system is applied in an autonomous vehicle to increase the vehicle safety and passenger safety. The lane detection is one of the computer vision-based systems for driver assistance, as it uses an existing lane marking where the image is captured by the onboard camera mounted in the rear-view mirror facing the front of the vehicle. The proposed algorithm that has been created can detect a lane marking under variable condition of the road such as in the case of urban roads or highways with different printed marks as solid or dashed lines. Furthermore, the algorithm is designed for real-time applications.

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Literature
1.
go back to reference Chiu, K.Y., Lin, S.F.: Lane detection using color-based segmentation. IEEE Proc., Intell. Veh. Symp., 706–711 (2005) Chiu, K.Y., Lin, S.F.: Lane detection using color-based segmentation. IEEE Proc., Intell. Veh. Symp., 706–711 (2005)
2.
go back to reference Wennan, Z., Qiang, C., Hong, W.: Lane detection in some complex conditions. IEEE J. Intell. Robot Syst., 117–122 (2006) Wennan, Z., Qiang, C., Hong, W.: Lane detection in some complex conditions. IEEE J. Intell. Robot Syst., 117–122 (2006)
3.
go back to reference Habib, S., Hannan, M.A.: Lane departure detection and transmission using hough transform method. Przeglad Elektrotechniczny 89(5), 141–146 (2013) Habib, S., Hannan, M.A.: Lane departure detection and transmission using hough transform method. Przeglad Elektrotechniczny 89(5), 141–146 (2013)
4.
go back to reference Hardzeyeu, V., Klefenz, F.: On using the Hough transform for driving assistance applications. 4th IEEE ICCP, 91–98 (2008) Hardzeyeu, V., Klefenz, F.: On using the Hough transform for driving assistance applications. 4th IEEE ICCP, 91–98 (2008)
5.
go back to reference Chang, C.Y., Lin, C.H.: An efficient method for lane-mark extraction in complex conditions. 9th IEEE ICCP, 330–336 (2012) Chang, C.Y., Lin, C.H.: An efficient method for lane-mark extraction in complex conditions. 9th IEEE ICCP, 330–336 (2012)
Metadata
Title
Lane Detection Using Image Processing for Driving Assistance
Authors
Atzroulnizam Abu
Mohd Rohaimi Mohd Dahalan
Ahmad Zawawi Jamaluddin
Dzul Fadhli Hisyam Mat Daut
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-67307-9_31

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