Vanishing Line based Lane Detection for Augmented Reality-aided Driver Induction (주행유도 증강현실을 위한 소실선 기반 차선검출)

Jeong-Rok Yun (윤정록); Dong-Kil Lee (이동길); Chun， Sungkuk (전성국); Hong Sung Hoon (홍성훈)

doi:10.9708/jksci.2019.24.01.073

Vanishing Line based Lane Detection for Augmented Reality-aided Driver Induction

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2019, 24(1), pp.73-83
DOI : 10.9708/jksci.2019.24.01.073
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : December 18, 2018
Accepted : January 19, 2019
Published : January 31, 2019

Jeong-Rok Yun ¹, Dong-Kil Lee ¹, Chun， Sungkuk ¹, Hong Sung Hoon ²

¹한국광기술원
²전남대학교

Accredited

ABSTRACT

In this paper, we propose the augmented reality(AR) based driving navigation based on robust lane detection method to dynamic environment changes. The proposed technique uses the detected lane position as a marker which is a key element for enhancing driving information. We propose Symmetrical Local Threshold(SLT) algorithm which is able to robustly detect lane to dynamic illumination environment change such as shadows. In addition, by using Morphology operation and Connected Component Analysis(CCA) algorithm, it is possible to minimize noises in the image, and Region Of Interest(ROI) is defined through region division using a straight line passing through several vanishing points We also propose the augmented reality aided visualization method for Interchange(IC) and driving navigation using reference point detection based on the detected lane coordinates inside and outside the ROI. Validation experiments were carried out to assess the accuracy and robustness of the proposed system in vairous environment changes. The average accuracy of the proposed system in daytime, nighttime, rainy day, and cloudy day is 79.3% on 4600 images. The results of the proposed system for AR based IC and driving navigation were also presented. We are hopeful that the proposed research will open a new discussion on AR based driving navigation platforms, and thus, that such efforts will enrich the autonomous vehicle services in the near future

KEYWORDS

HUD(Head Up Display), AR(Augmented Reality), Lean detection, ROI(Region Of Interest) detection, Vanishing point, SLT(Symmetrical Local Threshold)

Citation status

* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Vanishing Line based Lane Detection for Augmented Reality-aided Driver Induction

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Vanishing Line based Lane Detection for Augmented Reality-aided Driver Induction

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KEYWORDS

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* References for papers published after 2023 are currently being built.