Real-time video-based lane tracing system with the sliding focus window

Wally Chen; Leon Jian; Hongke Zhang; Sy Yen Kuo

doi:10.1109/VETECF.2011.6093187

Real-time video-based lane tracing system with the sliding focus window

Wally Chen^*
, Leon Jian
, Hongke Zhang
, Sy Yen Kuo

^*Corresponding author for this work

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

Abstract

Lane tracing is the problem of estimating the geometric shape of the lane boundaries based on the image grabbed by a camera on board a vehicle. In this paper, a real-time video-based lane detection method is presented. By analysing the result of lane tracing, the behaviour of the vehicle is traced and the focus windows are placeable, which provides useful information to the next round detection recursively. The system is porting on both PC and iPhone 3G to verify the recognition rate and performance through field testing. With the knowledge of road model, it is applicable to the marked and the unmarked roads, as well as the dash and the solid paint line roads. Experimental results show that the proposed method is robust and the performance is capable for practical applications.

Original language	English
Title of host publication	2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings
DOIs	https://doi.org/10.1109/VETECF.2011.6093187
State	Published - 2011
Externally published	Yes
Event	IEEE 74th Vehicular Technology Conference, VTC Fall 2011 - San Francisco, CA, United States Duration: 05 09 2011 → 08 09 2011

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1550-2252

Conference

Conference	IEEE 74th Vehicular Technology Conference, VTC Fall 2011
Country/Territory	United States
City	San Francisco, CA
Period	05/09/11 → 08/09/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

edge detection
Hough transform
intelligent transportation system
lane departure warning
lane detection

Access to Document

10.1109/VETECF.2011.6093187

Cite this

@inproceedings{210edbd784db4602a363d7649f8c6683,

title = "Real-time video-based lane tracing system with the sliding focus window",

abstract = "Lane tracing is the problem of estimating the geometric shape of the lane boundaries based on the image grabbed by a camera on board a vehicle. In this paper, a real-time video-based lane detection method is presented. By analysing the result of lane tracing, the behaviour of the vehicle is traced and the focus windows are placeable, which provides useful information to the next round detection recursively. The system is porting on both PC and iPhone 3G to verify the recognition rate and performance through field testing. With the knowledge of road model, it is applicable to the marked and the unmarked roads, as well as the dash and the solid paint line roads. Experimental results show that the proposed method is robust and the performance is capable for practical applications.",

keywords = "edge detection, Hough transform, intelligent transportation system, lane departure warning, lane detection",

author = "Wally Chen and Leon Jian and Hongke Zhang and Kuo, \{Sy Yen\}",

year = "2011",

doi = "10.1109/VETECF.2011.6093187",

language = "英语",

isbn = "9781424483273",

series = "IEEE Vehicular Technology Conference",

booktitle = "2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings",

note = "IEEE 74th Vehicular Technology Conference, VTC Fall 2011 ; Conference date: 05-09-2011 Through 08-09-2011",

}

Chen, W, Jian, L, Zhang, H & Kuo, SY 2011, Real-time video-based lane tracing system with the sliding focus window. in 2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings., 6093187, IEEE Vehicular Technology Conference, IEEE 74th Vehicular Technology Conference, VTC Fall 2011, San Francisco, CA, United States, 05/09/11. https://doi.org/10.1109/VETECF.2011.6093187

TY - GEN

T1 - Real-time video-based lane tracing system with the sliding focus window

AU - Chen, Wally

AU - Jian, Leon

AU - Zhang, Hongke

AU - Kuo, Sy Yen

PY - 2011

Y1 - 2011

N2 - Lane tracing is the problem of estimating the geometric shape of the lane boundaries based on the image grabbed by a camera on board a vehicle. In this paper, a real-time video-based lane detection method is presented. By analysing the result of lane tracing, the behaviour of the vehicle is traced and the focus windows are placeable, which provides useful information to the next round detection recursively. The system is porting on both PC and iPhone 3G to verify the recognition rate and performance through field testing. With the knowledge of road model, it is applicable to the marked and the unmarked roads, as well as the dash and the solid paint line roads. Experimental results show that the proposed method is robust and the performance is capable for practical applications.

AB - Lane tracing is the problem of estimating the geometric shape of the lane boundaries based on the image grabbed by a camera on board a vehicle. In this paper, a real-time video-based lane detection method is presented. By analysing the result of lane tracing, the behaviour of the vehicle is traced and the focus windows are placeable, which provides useful information to the next round detection recursively. The system is porting on both PC and iPhone 3G to verify the recognition rate and performance through field testing. With the knowledge of road model, it is applicable to the marked and the unmarked roads, as well as the dash and the solid paint line roads. Experimental results show that the proposed method is robust and the performance is capable for practical applications.

KW - edge detection

KW - Hough transform

KW - intelligent transportation system

KW - lane departure warning

KW - lane detection

UR - https://www.scopus.com/pages/publications/83755171398

U2 - 10.1109/VETECF.2011.6093187

DO - 10.1109/VETECF.2011.6093187

M3 - 会议稿件

AN - SCOPUS:83755171398

SN - 9781424483273

T3 - IEEE Vehicular Technology Conference

BT - 2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings

T2 - IEEE 74th Vehicular Technology Conference, VTC Fall 2011

Y2 - 5 September 2011 through 8 September 2011

ER -

Real-time video-based lane tracing system with the sliding focus window

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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