Scene slice analysis based lane detection and tracking

Lin Ma; Nan Ning Zheng; Fan Mu; Hong Cheng

doi:10.1109/ICVES.2005.1563657

Scene slice analysis based lane detection and tracking

Lin Ma
, Nan Ning Zheng
, Fan Mu
, Hong Cheng

College of Artificial Intelligence and Robotics

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

1 Scopus citations

Abstract

A new concept about the road recognition problem, Slice Coherence Comparability, is defined in this paper. A novel road model, Generatrix-Slice Model, is proposed on this conception. Based on the numerical analysis of Slice Coherence Comparability, the robustness of the lane detection and tracking is improved in evidence. The experiments show that this method is robust on various road types.

Original language	English
Title of host publication	2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings
Pages	281-284
Number of pages	4
DOIs	https://doi.org/10.1109/ICVES.2005.1563657
State	Published - 2005
Event	2005 IEEE International Conference on Vehicular Electronics and Safety - Xi'an, Shaan'xi, China Duration: 14 Oct 2005 → 16 Oct 2005

Publication series

Name	2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings
Volume	2005

Conference

Conference	2005 IEEE International Conference on Vehicular Electronics and Safety
Country/Territory	China
City	Xi'an, Shaan'xi
Period	14/10/05 → 16/10/05

Keywords

Intelligent vehicle
Lane recognition
Machine vision
Road slice
Slice coherence comparability

Access to Document

10.1109/ICVES.2005.1563657

Cite this

@inproceedings{8ba0e1c3879845dfa6cb397b21c4bdd4,

title = "Scene slice analysis based lane detection and tracking",

abstract = "A new concept about the road recognition problem, Slice Coherence Comparability, is defined in this paper. A novel road model, Generatrix-Slice Model, is proposed on this conception. Based on the numerical analysis of Slice Coherence Comparability, the robustness of the lane detection and tracking is improved in evidence. The experiments show that this method is robust on various road types.",

keywords = "Intelligent vehicle, Lane recognition, Machine vision, Road slice, Slice coherence comparability",

author = "Lin Ma and Zheng, \{Nan Ning\} and Fan Mu and Hong Cheng",

year = "2005",

doi = "10.1109/ICVES.2005.1563657",

language = "英语",

isbn = "0780394356",

series = "2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings",

pages = "281--284",

booktitle = "2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings",

note = "2005 IEEE International Conference on Vehicular Electronics and Safety ; Conference date: 14-10-2005 Through 16-10-2005",

}

Ma, L, Zheng, NN, Mu, F & Cheng, H 2005, Scene slice analysis based lane detection and tracking. in 2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings., 1563657, 2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings, vol. 2005, pp. 281-284, 2005 IEEE International Conference on Vehicular Electronics and Safety, Xi'an, Shaan'xi, China, 14/10/05. https://doi.org/10.1109/ICVES.2005.1563657

Scene slice analysis based lane detection and tracking. / Ma, Lin; Zheng, Nan Ning; Mu, Fan et al.
2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings. 2005. p. 281-284 1563657 (2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings; Vol. 2005).

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

TY - GEN

T1 - Scene slice analysis based lane detection and tracking

AU - Ma, Lin

AU - Zheng, Nan Ning

AU - Mu, Fan

AU - Cheng, Hong

PY - 2005

Y1 - 2005

N2 - A new concept about the road recognition problem, Slice Coherence Comparability, is defined in this paper. A novel road model, Generatrix-Slice Model, is proposed on this conception. Based on the numerical analysis of Slice Coherence Comparability, the robustness of the lane detection and tracking is improved in evidence. The experiments show that this method is robust on various road types.

AB - A new concept about the road recognition problem, Slice Coherence Comparability, is defined in this paper. A novel road model, Generatrix-Slice Model, is proposed on this conception. Based on the numerical analysis of Slice Coherence Comparability, the robustness of the lane detection and tracking is improved in evidence. The experiments show that this method is robust on various road types.

KW - Intelligent vehicle

KW - Lane recognition

KW - Machine vision

KW - Road slice

KW - Slice coherence comparability

UR - https://www.scopus.com/pages/publications/33845970233

U2 - 10.1109/ICVES.2005.1563657

DO - 10.1109/ICVES.2005.1563657

M3 - 会议稿件

AN - SCOPUS:33845970233

SN - 0780394356

SN - 9780780394353

T3 - 2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings

SP - 281

EP - 284

BT - 2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings

T2 - 2005 IEEE International Conference on Vehicular Electronics and Safety

Y2 - 14 October 2005 through 16 October 2005

ER -

Scene slice analysis based lane detection and tracking

Abstract

Publication series

Conference

Keywords

Access to Document

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