Hierarchical self organizing map and focusing inspection strategy for mobile robot novelty detection
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...
Saved in:
Main Author: | Sha'abani, Mohd Nurul Al-Hafiz |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2014
|
Subjects: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Self-organizing sensorimotor map for mobile robot navigation /
by: Chin, Wei Hong
Published: (2015) -
Machine Learning Of Melodies Through Hierarchical Self-Organizing Maps
by: Hean, Edwin Law Hui
Published: (2010) -
An Integrated Approach Using Self
Organizing Maps And Fuzzy Cognitive
Maps For Network Intrusion Detection
by: Jazzar, Mahmoud
Published: (2009) -
Improving novelty of abstractive text summarization using deep transfer learning approaches /
by: Alomari, Ayham Shafiq Oqlah
Published: (2023) -
Design and development of mobile robot thematic mapping using flexible ellipse shape region
by: Mohd Hafiz, Taib
Published: (2014)