Real-time lane detection and departure warning system on embedded platform

Youngwan Lee; Hakil Kim

doi:10.1109/ICCE-Berlin.2016.7684702

Real-time lane detection and departure warning system on embedded platform

Youngwan Lee, Hakil Kim

Inha University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

18 Scopus citations

Abstract

Within the last few years, studies on Advanced Driver Assistance Systems (ADAS) have been actively conducted and deployed in modern vehicles; moreover, lane detection and departure warning systems are important modules of ADAS. However, most of the recent papers have only focused on PC-based lane detection modules, and very few concerns have been addressed for the customized embedded board. This paper proposes a real-time lane detection and departure warning technique on a commercial embedded board. The technique is based on Inverse Perspective Mapping (IPM) generating a topview image of the road and Kalman filter tracking removing noise and enhancing accuracy. The experimental results show good performance with an average correct detection rate of 96% under various challenging urban and highway conditions while the processing time takes only 22.76 ms per frame (1280×720) on the embedded board which verifies that the proposed method could be feasible for real-time applications in commercial ADAS products.

Original language	English
Title of host publication	2016 IEEE 6th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2016
Editors	Tom Wilson, Wolfgang Endemann, Hans L. Cycon, Dietmar Hepper, Jose Maria Flores-Arias
Publisher	IEEE Computer Society
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781509020966
DOIs	https://doi.org/10.1109/ICCE-Berlin.2016.7684702
State	Published - 25 Oct 2016
Event	6th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2016 - Berlin, Germany Duration: 5 Sep 2016 → 7 Sep 2016

Publication series

Name	IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Volume	2016-October
ISSN (Print)	2166-6814
ISSN (Electronic)	2166-6822

Conference

Conference	6th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2016
Country/Territory	Germany
City	Berlin
Period	5/09/16 → 7/09/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

ADAS
IPM
Kalman filter
LDWS
Real-time

Access to Document

10.1109/ICCE-Berlin.2016.7684702

Cite this

Lee, Y., & Kim, H. (2016). Real-time lane detection and departure warning system on embedded platform. In T. Wilson, W. Endemann, H. L. Cycon, D. Hepper, & J. M. Flores-Arias (Eds.), 2016 IEEE 6th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2016 (pp. 1-4). Article 7684702 (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin; Vol. 2016-October). IEEE Computer Society. https://doi.org/10.1109/ICCE-Berlin.2016.7684702

Lee, Youngwan ; Kim, Hakil. / Real-time lane detection and departure warning system on embedded platform. 2016 IEEE 6th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2016. editor / Tom Wilson ; Wolfgang Endemann ; Hans L. Cycon ; Dietmar Hepper ; Jose Maria Flores-Arias. IEEE Computer Society, 2016. pp. 1-4 (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin).

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title = "Real-time lane detection and departure warning system on embedded platform",

abstract = "Within the last few years, studies on Advanced Driver Assistance Systems (ADAS) have been actively conducted and deployed in modern vehicles; moreover, lane detection and departure warning systems are important modules of ADAS. However, most of the recent papers have only focused on PC-based lane detection modules, and very few concerns have been addressed for the customized embedded board. This paper proposes a real-time lane detection and departure warning technique on a commercial embedded board. The technique is based on Inverse Perspective Mapping (IPM) generating a topview image of the road and Kalman filter tracking removing noise and enhancing accuracy. The experimental results show good performance with an average correct detection rate of 96% under various challenging urban and highway conditions while the processing time takes only 22.76 ms per frame (1280×720) on the embedded board which verifies that the proposed method could be feasible for real-time applications in commercial ADAS products.",

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note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 6th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2016 ; Conference date: 05-09-2016 Through 07-09-2016",

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Lee, Y & Kim, H 2016, Real-time lane detection and departure warning system on embedded platform. in T Wilson, W Endemann, HL Cycon, D Hepper & JM Flores-Arias (eds), 2016 IEEE 6th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2016., 7684702, IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin, vol. 2016-October, IEEE Computer Society, pp. 1-4, 6th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2016, Berlin, Germany, 5/09/16. https://doi.org/10.1109/ICCE-Berlin.2016.7684702

Real-time lane detection and departure warning system on embedded platform. / Lee, Youngwan; Kim, Hakil.
2016 IEEE 6th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2016. ed. / Tom Wilson; Wolfgang Endemann; Hans L. Cycon; Dietmar Hepper; Jose Maria Flores-Arias. IEEE Computer Society, 2016. p. 1-4 7684702 (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin; Vol. 2016-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2016/10/25

Y1 - 2016/10/25

N2 - Within the last few years, studies on Advanced Driver Assistance Systems (ADAS) have been actively conducted and deployed in modern vehicles; moreover, lane detection and departure warning systems are important modules of ADAS. However, most of the recent papers have only focused on PC-based lane detection modules, and very few concerns have been addressed for the customized embedded board. This paper proposes a real-time lane detection and departure warning technique on a commercial embedded board. The technique is based on Inverse Perspective Mapping (IPM) generating a topview image of the road and Kalman filter tracking removing noise and enhancing accuracy. The experimental results show good performance with an average correct detection rate of 96% under various challenging urban and highway conditions while the processing time takes only 22.76 ms per frame (1280×720) on the embedded board which verifies that the proposed method could be feasible for real-time applications in commercial ADAS products.

AB - Within the last few years, studies on Advanced Driver Assistance Systems (ADAS) have been actively conducted and deployed in modern vehicles; moreover, lane detection and departure warning systems are important modules of ADAS. However, most of the recent papers have only focused on PC-based lane detection modules, and very few concerns have been addressed for the customized embedded board. This paper proposes a real-time lane detection and departure warning technique on a commercial embedded board. The technique is based on Inverse Perspective Mapping (IPM) generating a topview image of the road and Kalman filter tracking removing noise and enhancing accuracy. The experimental results show good performance with an average correct detection rate of 96% under various challenging urban and highway conditions while the processing time takes only 22.76 ms per frame (1280×720) on the embedded board which verifies that the proposed method could be feasible for real-time applications in commercial ADAS products.

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Lee Y, Kim H. Real-time lane detection and departure warning system on embedded platform. In Wilson T, Endemann W, Cycon HL, Hepper D, Flores-Arias JM, editors, 2016 IEEE 6th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2016. IEEE Computer Society. 2016. p. 1-4. 7684702. (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin). doi: 10.1109/ICCE-Berlin.2016.7684702

Real-time lane detection and departure warning system on embedded platform

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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