By Topic

Vision-Based Outdoor Navigation Using Mobile Robots

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)
Wolf, D.F. ; Comput. Syst. Dept., Univ. of Sao Paulo, Sao Carlos ; Netto, C.N.S.

Navigation is a broad topic that has been receiving considerable attention from the mobile robotics community. The ability to move safely in the environment is a fundamental capability for most applications. Most previous work on this subject is focused on obstacle avoidance and path planning in indoor environments using range sensors such as lasers and sonars. This paper addresses the problem of vision-based outdoor navigation. More specifically, we evaluate segmentation algorithms and combine different computer vision techniques to extract environmental information in order to autonomously conduct a mobile robot in a navigable path. As a validation to the proposed techniques, we present results obtained from field experiments.

Published in:

Robotic Symposium, 2008. LARS '08. IEEE Latin American

Date of Conference:

29-30 Oct. 2008