By Topic

A guide to vision-based map building

Sign In

Full text access may be available.

To access full text, please use your member or institutional sign in.

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

1 Author(s)
Wooden, D. ; Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA

This paper describes a simple vision-based mapping system for mobile robot navigation in an unknown outdoor environment, consistent with the efforts of Georgia Tech's team for the DARPA-sponsored Learning Applied to Ground Robots (LAGR) project. This approach, which has been robust to different environments and responsive to time-critical constraints, is a good example of robotics in practice

Published in:

Robotics & Automation Magazine, IEEE  (Volume:13 ,  Issue: 2 )