Dynamic integration and online evaluation of vision-based lane detection algorithms

Lane detection techniques have been widely studied in the last two decades and applied in many advance driver assistance systems. However, the development of a robust lane detection system, which can deal with various road conditions and efficiently evaluate its detection results in real time, is st...

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Vydané v:	IET intelligent transport systems Ročník 13; číslo 1; s. 55 - 62
Hlavní autori:	Xing, Yang, Lv, Chen, Wang, Huaji, Cao, Dongpu, Velenis, Efstathios
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	The Institution of Engineering and Technology 01.01.2019
Predmet:	advance driver assistance systems cameras computer vision dynamic integration edge detection ego lanes false detections feature extraction Gaussian mixture model Gaussian processes Hough transform algorithm Hough transforms image segmentation integration system lane geometry knowledge lane missing scenarios lane sampling low detection confidence object detection online evaluation primary lane detection module real time road vehicles robust lane detection system Special Issue: Recent Advancements on Electrified, Low Emission and Intelligent Vehicle-Systems steerable filter SVT system traffic engineering computing vision‐based lane detection algorithms voting technique Hough transform algorithm dynamic integration advance driver assistance systems steerable filter false detections integration system object detection vision-based lane detection algorithms SVT system Gaussian mixture model cameras robust lane detection system ego lanes lane missing scenarios road vehicles feature extraction image segmentation edge detection real time low detection confidence traffic engineering computing voting technique online evaluation Hough transforms computer vision Gaussian processes lane sampling lane geometry knowledge primary lane detection module
ISSN:	1751-956X, 1751-9578
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