Runway detection in an image sequence

Yuan-Ling Tang; Rangachar Kasturi

doi:10.1117/12.205479

23 March 1995 Runway detection in an image sequence

Yuan-Ling Tang, Rangachar Kasturi

Proceedings Volume 2421, Image and Video Processing III; (1995) https://doi.org/10.1117/12.205479
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

This paper is concerned with rapid detection of the runway in an image sequence captured from a landing aircraft. During the critical section of landing maneuvers, a vision system which can continuously detect the runway is very useful to both enhance the landing safety and reduce the pilots' workload. Such a system requires fast and reliable recognition strategies in order to meet the real-time flight control demands. In this paper, a method based on defining the regions of interest (ROIs) in the image plane is described for achieving such real-time performance. This method utilizes the approximate information about the aircraft/camera position and orientation to obtain a two-dimensional (2D) projection of the runway on the image plane. This 2D projection is represented by a set of regions called the ROIs, with each ROI corresponding to one feature of the three-dimensional (3D) runway model. We show that using such a technique, the computational complexity of the recognition process can be significantly reduced.

Citation Download Citation

Yuan-Ling Tang and Rangachar Kasturi "Runway detection in an image sequence", Proc. SPIE 2421, Image and Video Processing III, (23 March 1995); https://doi.org/10.1117/12.205479

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