Research on a robot landmark localization system based on monocular camera

Yuan Luo; Xiaodong Xu; Yi Zhang

doi:10.1117/12.725579

29 January 2007 Research on a robot landmark localization system based on monocular camera

Yuan Luo, Xiaodong Xu, Yi Zhang

Proceedings Volume 6279, 27th International Congress on High-Speed Photography and Photonics; 627952 (2007) https://doi.org/10.1117/12.725579
Event: 27th International congress on High-Speed Photography and Photonics, 2006, Xi'an, China

Abstract

Robot localization is very important for the researching of intelligent robotics. The accurate of the robot coordinate will influence the control accuracy of the robot's moving action. So, it is essential for robot itself to have the ability to realize the modifying of coordinate of its own in real time when it is moving. In this paper, a robot landmark localization system based on a monocular camera is researched theoretical and experimental. Three longitudinal landmarks are used to assure the robust of the system. Digital image processing technology is enrolled to revise the image stretching and decrease the disturbing of noise. The experiments based on Pioneer III mobile robot show that this system can work well at different topographic situation without lose of signposts.

Citation Download Citation

Yuan Luo, Xiaodong Xu, and Yi Zhang "Research on a robot landmark localization system based on monocular camera", Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 627952 (29 January 2007); https://doi.org/10.1117/12.725579

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