Lane detection using road planar information

Qiang He; Chee-Hung Henry Chu

doi:10.1117/12.884444

5 May 2011 Lane detection using road planar information

Qiang He, Chee-Hung Henry Chu

Proceedings Volume 8050, Signal Processing, Sensor Fusion, and Target Recognition XX; 80501H (2011) https://doi.org/10.1117/12.884444
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

Intelligent vehicles have many applications in the military, aerospace, and other industries, including land-mine detection for the military, patient transportation in hospitals, and many other domains that often require automation to reduce risks to the human operators. One of important tasks of intelligent vehicles is the navigation, whose goal is to extract and determine the appropriate path that leads to a destination based on perceived environmental information. The objective of our work is to develop a simple and effective method to detect and extract road lanes and boundaries. We propose a solution by incorporating the planar information of road surfaces. We first detect all possible edges in the captured images. The straight lanes and boundaries are extracted as straight lines, which generate a vanishing point. The straight lines are described with Hough transform. A cluster analysis in Hough space is used to detect the vanishing point on road. Further, we search lines passing through the vanishing point from 180 degrees to 270 degrees and from 0 degree to negative 90 degrees. The first two strong lines will be extracted as road boundaries.

Citation Download Citation

Qiang He and Chee-Hung Henry Chu "Lane detection using road planar information", Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 80501H (5 May 2011); https://doi.org/10.1117/12.884444

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