A reliable lane detection using steerable and average filters

Seunghwa Hyun; Inseok Yang; Dong Seog Han

A reliable lane detection using steerable and average filters

Seunghwa Hyun
, Inseok Yang
, Dong Seog Han

School of Electronics Engineering

Kyungpook National University
Center for IT and Automobile Convergence

Research output: Contribution to conference › Paper › peer-review

Abstract

The lane detection for driver assistance systems should be designed with simple and robust algorithms. This paper proposes an algorithm for reliable lane detection using steerable and median filters to improve the lane detection probability under various environments such as shadows, stains, road markings, tunnel and so on. The region of interest (ROI) setting can be obtained by the improved vertical mean distribution (iVMD) Method.

Original language	English
State	Published - 2014
Event	21st World Congress on Intelligent Transport Systems: Reinventing Transportation in Our Connected World, ITSWC 2014 - Detroit, United States Duration: 7 Sep 2014 → 11 Sep 2014

Conference

Conference	21st World Congress on Intelligent Transport Systems: Reinventing Transportation in Our Connected World, ITSWC 2014
Country/Territory	United States
City	Detroit
Period	7/09/14 → 11/09/14

Keywords

Adas
Average filter
IVMD
Lane detection
Steerable filter

Cite this

@conference{c970e95c7ba6491196a1cdf4ed527f16,

title = "A reliable lane detection using steerable and average filters",

abstract = "The lane detection for driver assistance systems should be designed with simple and robust algorithms. This paper proposes an algorithm for reliable lane detection using steerable and median filters to improve the lane detection probability under various environments such as shadows, stains, road markings, tunnel and so on. The region of interest (ROI) setting can be obtained by the improved vertical mean distribution (iVMD) Method.",

keywords = "Adas, Average filter, IVMD, Lane detection, Steerable filter",

author = "Seunghwa Hyun and Inseok Yang and Han, \{Dong Seog\}",

year = "2014",

language = "English",

note = "21st World Congress on Intelligent Transport Systems: Reinventing Transportation in Our Connected World, ITSWC 2014 ; Conference date: 07-09-2014 Through 11-09-2014",

}

TY - CONF

T1 - A reliable lane detection using steerable and average filters

AU - Hyun, Seunghwa

AU - Yang, Inseok

AU - Han, Dong Seog

PY - 2014

Y1 - 2014

N2 - The lane detection for driver assistance systems should be designed with simple and robust algorithms. This paper proposes an algorithm for reliable lane detection using steerable and median filters to improve the lane detection probability under various environments such as shadows, stains, road markings, tunnel and so on. The region of interest (ROI) setting can be obtained by the improved vertical mean distribution (iVMD) Method.

AB - The lane detection for driver assistance systems should be designed with simple and robust algorithms. This paper proposes an algorithm for reliable lane detection using steerable and median filters to improve the lane detection probability under various environments such as shadows, stains, road markings, tunnel and so on. The region of interest (ROI) setting can be obtained by the improved vertical mean distribution (iVMD) Method.

KW - Adas

KW - Average filter

KW - IVMD

KW - Lane detection

KW - Steerable filter

UR - https://www.scopus.com/pages/publications/84929208491

M3 - Paper

AN - SCOPUS:84929208491

T2 - 21st World Congress on Intelligent Transport Systems: Reinventing Transportation in Our Connected World, ITSWC 2014

Y2 - 7 September 2014 through 11 September 2014

ER -

A reliable lane detection using steerable and average filters

Abstract

Conference

Keywords

Other files and links

Fingerprint

Cite this