Hierarchical self organizing map and focusing inspection strategy for mobile robot novelty detection

• Main Author: Sha'abani, Mohd Nurul Al-Hafiz
• Format: Thesis
• Language: English; English
• Published: 2014
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utem.edu.my/id/eprint/14987/1/Hierarchical%20Self%20Organizing%20Map%20and%20Focusing%20Inpection%20Strategy%20for%20Mobile%20Robot%20Novelty%20Detection%2024pages.pdf; http://eprints.utem.edu.my/id/eprint/14987/2/Hierarchical%20self%20organizing%20map%20and%20focusing%20inspection%20strategy%20for%20mobile%20robot%20novelty%20detection.pdf; http://eprints.utem.edu.my/id/eprint/14987/; https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=92053

Novelty detection is a process of recognizing changes based on learned knowledge. In this research, a novelty detection system was implemented on a mobile robot with an array of sonar sensors for surveillance application. In order to perform novelty detection, a map that stores normal information w...