A study about curve extraction and lane departure determination of linear curved road

Da Ni Joo; Sang Chan Moon; Min Woo Kim; Soon Geul Lee; Bui Quang Tan

doi:10.1109/ICCAS.2014.6987873

A study about curve extraction and lane departure determination of linear curved road

Da Ni Joo, Sang Chan Moon, Min Woo Kim, Soon Geul Lee, Bui Quang Tan

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

1 Citation (Scopus)

Abstract

Recently, intelligent vehicle are required accurate information about road condition for safety driving. However, vehicle safety systems are irregularly caused an error in judgment by road patterns. In this study, which has extracted curve road segments from line information of GIS with alignment of road. This algorithm are based modified Bezier curve method to detect curve lines from straight lines. Extracted line information are formally analyzed with lane departure warning system (LDWS) that was robust curves. For performance evaluation, the system has installed DGPS with 20cm RMS and WAVE communication with 5.8GHz, and implemented vehicle test in road environment with groups of curves and straight lines. Curvature LDWS improve correctness criterion by applying to predicted trajectory condition to previous algorithm. Test results are shown robust determination and confirmed false alarm did not appear. Furthermore, this algorithm are not only reduced error of functioning properly, but also detected lane departure at all-road environments in real-time.

Original language	English
Title of host publication	International Conference on Control, Automation and Systems
Publisher	IEEE Computer Society
Pages	720-725
Number of pages	6
ISBN (Electronic)	9788993215069
DOIs	https://doi.org/10.1109/ICCAS.2014.6987873
Publication status	Published - 16 Dec 2014
Event	2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 - Gyeonggi-do, Korea, Republic of Duration: 22 Oct 2014 → 25 Oct 2014

Publication series

Name	International Conference on Control, Automation and Systems
ISSN (Print)	1598-7833

Conference

Conference	2014 14th International Conference on Control, Automation and Systems, ICCAS 2014
Country/Territory	Korea, Republic of
City	Gyeonggi-do
Period	22/10/14 → 25/10/14

Bibliographical note

Publisher Copyright:
© 2014 Institute of Control, Robotics and Systems (ICROS).

Keywords

Curve extraction
DGPS
LDWS
Lane departure
Linear curved road

Access to Document

10.1109/ICCAS.2014.6987873

Cite this

Joo, D. N., Moon, S. C., Kim, M. W., Lee, S. G., & Tan, B. Q. (2014). A study about curve extraction and lane departure determination of linear curved road. In International Conference on Control, Automation and Systems (pp. 720-725). Article 6987873 (International Conference on Control, Automation and Systems). IEEE Computer Society. https://doi.org/10.1109/ICCAS.2014.6987873

@inproceedings{6261456345d14152b81d71d914602d3c,

title = "A study about curve extraction and lane departure determination of linear curved road",

abstract = "Recently, intelligent vehicle are required accurate information about road condition for safety driving. However, vehicle safety systems are irregularly caused an error in judgment by road patterns. In this study, which has extracted curve road segments from line information of GIS with alignment of road. This algorithm are based modified Bezier curve method to detect curve lines from straight lines. Extracted line information are formally analyzed with lane departure warning system (LDWS) that was robust curves. For performance evaluation, the system has installed DGPS with 20cm RMS and WAVE communication with 5.8GHz, and implemented vehicle test in road environment with groups of curves and straight lines. Curvature LDWS improve correctness criterion by applying to predicted trajectory condition to previous algorithm. Test results are shown robust determination and confirmed false alarm did not appear. Furthermore, this algorithm are not only reduced error of functioning properly, but also detected lane departure at all-road environments in real-time.",

keywords = "Curve extraction, DGPS, LDWS, Lane departure, Linear curved road",

author = "Joo, {Da Ni} and Moon, {Sang Chan} and Kim, {Min Woo} and Lee, {Soon Geul} and Tan, {Bui Quang}",

note = "Publisher Copyright: {\textcopyright} 2014 Institute of Control, Robotics and Systems (ICROS).; 2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 ; Conference date: 22-10-2014 Through 25-10-2014",

year = "2014",

month = dec,

day = "16",

doi = "10.1109/ICCAS.2014.6987873",

language = "English",

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Joo, DN, Moon, SC, Kim, MW, Lee, SG & Tan, BQ 2014, A study about curve extraction and lane departure determination of linear curved road. in International Conference on Control, Automation and Systems., 6987873, International Conference on Control, Automation and Systems, IEEE Computer Society, pp. 720-725, 2014 14th International Conference on Control, Automation and Systems, ICCAS 2014, Gyeonggi-do, Korea, Republic of, 22/10/14. https://doi.org/10.1109/ICCAS.2014.6987873

A study about curve extraction and lane departure determination of linear curved road. / Joo, Da Ni; Moon, Sang Chan; Kim, Min Woo et al.
International Conference on Control, Automation and Systems. IEEE Computer Society, 2014. p. 720-725 6987873 (International Conference on Control, Automation and Systems).

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

TY - GEN

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AU - Joo, Da Ni

AU - Moon, Sang Chan

AU - Kim, Min Woo

AU - Lee, Soon Geul

AU - Tan, Bui Quang

PY - 2014/12/16

Y1 - 2014/12/16

N2 - Recently, intelligent vehicle are required accurate information about road condition for safety driving. However, vehicle safety systems are irregularly caused an error in judgment by road patterns. In this study, which has extracted curve road segments from line information of GIS with alignment of road. This algorithm are based modified Bezier curve method to detect curve lines from straight lines. Extracted line information are formally analyzed with lane departure warning system (LDWS) that was robust curves. For performance evaluation, the system has installed DGPS with 20cm RMS and WAVE communication with 5.8GHz, and implemented vehicle test in road environment with groups of curves and straight lines. Curvature LDWS improve correctness criterion by applying to predicted trajectory condition to previous algorithm. Test results are shown robust determination and confirmed false alarm did not appear. Furthermore, this algorithm are not only reduced error of functioning properly, but also detected lane departure at all-road environments in real-time.

AB - Recently, intelligent vehicle are required accurate information about road condition for safety driving. However, vehicle safety systems are irregularly caused an error in judgment by road patterns. In this study, which has extracted curve road segments from line information of GIS with alignment of road. This algorithm are based modified Bezier curve method to detect curve lines from straight lines. Extracted line information are formally analyzed with lane departure warning system (LDWS) that was robust curves. For performance evaluation, the system has installed DGPS with 20cm RMS and WAVE communication with 5.8GHz, and implemented vehicle test in road environment with groups of curves and straight lines. Curvature LDWS improve correctness criterion by applying to predicted trajectory condition to previous algorithm. Test results are shown robust determination and confirmed false alarm did not appear. Furthermore, this algorithm are not only reduced error of functioning properly, but also detected lane departure at all-road environments in real-time.

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A study about curve extraction and lane departure determination of linear curved road

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Keywords

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