Simple road detection based on vanishing point

Chen Ziyu; He Zhen

doi:10.1117/1.JEI.23.3.033015

20 June 2014 Simple road detection based on vanishing point

Chen Ziyu, He Zhen

Author Affiliations +

Journal of Electronic Imaging, Vol. 23, Issue 3, 033015 (June 2014). https://doi.org/10.1117/1.JEI.23.3.033015

Abstract

Vision-based road detection is one of the key techniques of autonomous driving, intelligent vehicles, and visual navigation. At present, methods based on vanishing point perform best with general roads. However, it is difficult for them to meet the needs of a real-time system due to high time consumption. This paper presents a fast detection method, namely simple road detection, which achieves high efficiency by employing sky segmentation and two new optimization schemes-sample convolution and fast voting. The optimizations are based on lookup tables, sample computing, and computing simplification. The interval sampling in sample convolution makes the proposed method flexible to meet various efficiency and accuracy demands by different sample-step values. Mean filter and vote orientation limitation are also proposed to help improve detection accuracy. Experiments have been conducted with a large number of road images under different environmental conditions, and the results demonstrate that our proposed method is efficient and effective in detecting both structured and unstructured roads.

Citation Download Citation

Chen Ziyu and He Zhen "Simple road detection based on vanishing point," Journal of Electronic Imaging 23(3), 033015 (20 June 2014). https://doi.org/10.1117/1.JEI.23.3.033015

Published: 20 June 2014

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