DocumentCode
2120211
Title
Efficient lane detection system based on monocular camera
Author
Tao Tan ; Shouyi Yin ; Peng Ouyang ; Leibo Liu ; Shaojun Wei
Author_Institution
Nat. Lab. for Inf. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear
2015
fDate
9-12 Jan. 2015
Firstpage
202
Lastpage
203
Abstract
Recent years, lane detection has become of high interest in the area of intelligent vehicles and it provides the fundamental information which can be applied to the further development of Driving Assistance System. In this paper, we propose a lane detection system based on iterative searching and Random Sample Consensus (RANSAC) curve fitting. Experimental results show the effectiveness of our approach which detects lanes at a high correct rate and can be applied in intelligent vehicles.
Keywords
cameras; curve fitting; intelligent transportation systems; iterative methods; object detection; search problems; RANSAC curve fitting; intelligent vehicles; iterative searching; lane detection system; monocular camera; random sample consensus; Cameras; Computational modeling; Curve fitting; Intelligent vehicles; Mathematical model; Roads; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ICCE), 2015 IEEE International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4799-7542-6
Type
conf
DOI
10.1109/ICCE.2015.7066381
Filename
7066381
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