A novel method of natural landmark extraction and description for vSLAM Online publication date: Sat, 24-Dec-2016
by Quan-De Yuan; Yi Guan; Bing-Rong Hong; Song-Hao Piao; Ze-Su Cai
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 11, No. 3, 2016
Abstract: Landmark extraction and matching is a key part of vSLAM. In this paper, a method of landmark extraction and its description based on three-dimensional (3D) information of feature points is proposed. The robot obtains images from its environment via binocular vision, building 3D information of feature points under left camera coordinate system. Then, it uses the method based on improved mean shift algorithm to extract natural landmarks and construct its descriptor, which can be used in fast matching of two landmarks. This method can extract natural landmarks from unstructured environments and tolerate relatively low accuracy of pose estimation. It is suitable for navigation system of a mobile robot running in a complex environment. vSLAM experiments showed its effectiveness.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Wireless and Mobile Computing (IJWMC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com