Lane detection using spline model for freeway aerial videos

Yongbin Li; Xiaobo Lu; Tao Tang

doi:10.1117/12.2502962

9 August 2018 Lane detection using spline model for freeway aerial videos

Yongbin Li, Xiaobo Lu, Tao Tang

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108060X (2018) https://doi.org/10.1117/12.2502962
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

This paper proposes a lane detection algorithm based on spline model in aerial video of the freeway, which consists of three sections: image segmentation, clustering of lane feature points and lane model parameter estimation. Firstly, the segmentation method is based on the characteristics of lane, such as color, width and shape. In the aspect of clustering of lane feature points, spectral clustering algorithm is used to accomplish the clustering of effective feature points, and the similarity matrix is constructed according to the line spacing. In terms of lane model selection and parameter estimation, we fulfill them with the following three procedures: 1) cubic B-spline curve is used in this paper to express the lane more accurately and to indicate the distance farther. 2) we evaluated the model parameters by taking advantage of the improved RANSAC algorithm. 3) we chose the Kalman filter to correct and predict lane parameters. The results of experiment demonstrate that the proposed method can detect the model parameters of every lane from the video of aerial photography freeway with high stability and high detection accuracy.

Citation Download Citation

Yongbin Li, Xiaobo Lu, and Tao Tang "Lane detection using spline model for freeway aerial videos", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108060X (9 August 2018); https://doi.org/10.1117/12.2502962

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available