Cart (Loading....) | Create Account
Close category search window

Distance estimation method with snapshot landmark images in the robotic homing navigation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Seung-Eun Yu ; Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea ; DaeEun Kim

Animals and insects use their own navigating system to return home in various ways. One of the most widely used senses is vision. They use visual information to remember the home snapshot image which is useful in returning home from an arbitrary location. Inspired by behaviours of insects and other animals, there have been many homing algorithms applied to mobile robots. These methods use visual information to choose the moving direction by comparing the current landmark view with the snapshot taken at the nest. In this paper, we suggest a new image-based navigation method which is called landmark navigation with distance estimation. This method computes the distance to each landmark by using only the visual information of an omnidirectional camea. Estimated distance is then used to locate the robot in an environmental map. As a result, this new method shows better performance in returning home from an arbitrary location than other methods. The corresponding robotic experiments will be demonstrated.

Published in:

Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on

Date of Conference:

18-22 Oct. 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.