Real-time illumination invariant lane detection for lane departure warning system. Issue 4 (March 2015)

• Record Type: Journal Article
• Authors: Son, Jongin; Yoo, Hunjae; Kim, Sanghoon; Sohn, Kwanghoon
• Is Part Of: Expert systems with applications. Volume 42:Issue 4(2015)
• Page Start: 1816
• Page End: 1824
• Publication Date: 2015-03
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2014.10.024
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st060">Highlights</title> <sec> <p id="sp005"> <list id="l0005"> <list-item id="u0005"> <label></label> <p id="p0115">Invariant property of lane color under various illuminations is utilized for lane detection.</p> </list-item> <list-item id="u0010"> <label></label> <p id="p0120">Computational complexity is reduced using vanishing point detection and adaptive ROI.</p> </list-item> <list-item id="u0015"> <label></label> <p id="p0125">Datasets for evaluation include various environments from several devices.</p> </list-item> <list-item id="u0020"> <label></label> <p id="p0130">Simulation demo demonstrate fast and powerful performance for real-time applications.</p> </list-item> </list> </p> </sec> </abstract>