By Topic

An evolutionary visual landmark recognition system

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)
Hao Li ; Adv. Robotics & Intelligent Syst. (ARIS) Lab., Guelph Univ., Ont., Canada ; Yang, S.X.

A vision-based landmark recognition system by using the evolutionary principle for robot navigation tasks is implemented in this study. The research is aimed at using the GA to do pattern matching. The basic idea is to use genetic algorithms to find the best matching between nodes of the two patterns. The evaluation function can be defined in terms of total differences in magnitudes of nodes between the desired pattern and the real pattern. A search method based on genetic algorithms for pattern recognition in digital images is implemented as the vision layer for a behavior based mobile robot. The vision layer can recognize artificial landmarks by searching all the pro-defined patterns using the GA. Then it generates the desired behavior corresponding to various landmarks. The results of the algorithm is promising and has a high accuracy in classifying the input patterns. The effectiveness of the developed system is demonstrated by simulation and experimental studies.

Published in:

Systems, Man and Cybernetics, 2002 IEEE International Conference on  (Volume:7 )

Date of Conference:

6-9 Oct. 2002