By Topic

Multi-image matching for 3D mapping in vision-based navigation applications

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)
Xun Li ; Sch. of Surveying & Spatial Inf. Syst., Univ. of New South Wales, Sydney, NSW, Australia ; Jinling Wang

In this paper, we introduce multi-image matching using invariant features into the 3D mapping process for vision-based navigation applications. Our previously developed vision-based positioning system is modified accordingly, and experiments prove that the 3D map has been enhanced under a better imaging geometry. Consequently, the localization accuracy is much improved. Final positioning accuracy is around 0.2 m. The test also reveals some limitations: the system cannot perform well in areas where features are not rich or not included in the view; mismatches affect the positioning accuracy.

Published in:

Ubiquitous Positioning, Indoor Navigation, and Location Based Service (UPINLBS), 2012

Date of Conference:

3-4 Oct. 2012