By Topic

Research of robotic mapping based on weighted least means square

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)
Chunming Ren ; Inst. of Robot., Nankai Univ., Tianjin ; Jianxun Zhang

In this paper, by contrasting advantages and drawbacks of several kinds of range finders, showing the model of laser range finder and its nonlinear problem which appears in local map building. We presented a novel method which is based on commonly model in autonomous mobile robot local map building. This method can be easily implemented and has high precision. The result in emulator and experiment showed its efficiency.

Published in:

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Date of Conference:

25-27 June 2008