Abstract
Template matching is a popular method for visual recognition. However the method has two major problems: (1) Much time is required to detect the target object, and (2) Mistakes in recognition of the target object occur is some cases. In order to solve problem, (1) we apply a fuzzy neural network algorithm. However, problem (2) remains to be solved. In this paper, we propose a robust visual recognition algorithm for autonomous mobile robot navigation. The proposed algorithm employs Fuzzy Template Matching with a target object as well as similar objects in the environment. As a result, the robot verifies its tentative recognition by comparing the likelihood of plus elements (target objects) with that of minus elements (similar objects). The validity of the proposed navigation system is shown through some experimental results.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
