Novel lane curve detection method using linear approximation

Bao Feng Wang; Zhi Quan Qi; Guo Cheng Ma; Si Zhong Chen

doi:10.15918/j.tbit1001-0645.2016.05.006

Novel lane curve detection method using linear approximation

Bao Feng Wang, Zhi Quan Qi^*, Guo Cheng Ma, Si Zhong Chen

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

In order to improve the performance of lane detection for curve road, a lane detection system was presented with a linear approximation method. Based on the priori knowledge of lane geometry, some initial edge points of the lane were extracted through inverse perspective mapping and Hough transformation. Considering the initial results, a method of linear approximation was applied to search the future lane edge points. Finally, the detected points were used to rebuild the lane according to a B-spline model using least square method. Test of this system shows a promising detection result for curve lanes.

Original language	English
Pages (from-to)	470-474
Number of pages	5
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	36
Issue number	5
DOIs	https://doi.org/10.15918/j.tbit1001-0645.2016.05.006
Publication status	Published - 1 May 2016

Keywords

Curve lane detection
Hough transformation
Inverse perspective mapping
Linear approximation

Access to Document

10.15918/j.tbit1001-0645.2016.05.006

Cite this

@article{5b49b8f3a2a5449d9043392bbc031dc6,

title = "Novel lane curve detection method using linear approximation",

abstract = "In order to improve the performance of lane detection for curve road, a lane detection system was presented with a linear approximation method. Based on the priori knowledge of lane geometry, some initial edge points of the lane were extracted through inverse perspective mapping and Hough transformation. Considering the initial results, a method of linear approximation was applied to search the future lane edge points. Finally, the detected points were used to rebuild the lane according to a B-spline model using least square method. Test of this system shows a promising detection result for curve lanes.",

keywords = "Curve lane detection, Hough transformation, Inverse perspective mapping, Linear approximation",

author = "Wang, {Bao Feng} and Qi, {Zhi Quan} and Ma, {Guo Cheng} and Chen, {Si Zhong}",

year = "2016",

month = may,

day = "1",

doi = "10.15918/j.tbit1001-0645.2016.05.006",

language = "English",

volume = "36",

pages = "470--474",

journal = "Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology",

issn = "1001-0645",

publisher = "Beijing Institute of Technology",

number = "5",

}

TY - JOUR

T1 - Novel lane curve detection method using linear approximation

AU - Wang, Bao Feng

AU - Qi, Zhi Quan

AU - Ma, Guo Cheng

AU - Chen, Si Zhong

PY - 2016/5/1

Y1 - 2016/5/1

N2 - In order to improve the performance of lane detection for curve road, a lane detection system was presented with a linear approximation method. Based on the priori knowledge of lane geometry, some initial edge points of the lane were extracted through inverse perspective mapping and Hough transformation. Considering the initial results, a method of linear approximation was applied to search the future lane edge points. Finally, the detected points were used to rebuild the lane according to a B-spline model using least square method. Test of this system shows a promising detection result for curve lanes.

AB - In order to improve the performance of lane detection for curve road, a lane detection system was presented with a linear approximation method. Based on the priori knowledge of lane geometry, some initial edge points of the lane were extracted through inverse perspective mapping and Hough transformation. Considering the initial results, a method of linear approximation was applied to search the future lane edge points. Finally, the detected points were used to rebuild the lane according to a B-spline model using least square method. Test of this system shows a promising detection result for curve lanes.

KW - Curve lane detection

KW - Hough transformation

KW - Inverse perspective mapping

KW - Linear approximation

UR - http://www.scopus.com/inward/record.url?scp=84974678257&partnerID=8YFLogxK

U2 - 10.15918/j.tbit1001-0645.2016.05.006

DO - 10.15918/j.tbit1001-0645.2016.05.006

M3 - Article

AN - SCOPUS:84974678257

SN - 1001-0645

VL - 36

SP - 470

EP - 474

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 5

ER -

Novel lane curve detection method using linear approximation

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this