Mobile Robot Vision-Based Navigation Using Self-Organizing and Incremental Neural Networks

被引：0

作者：

Tangruamsub, Sirinart ^{[1
]}

Tsuboyama, Manabu ^{[1
]}

Kawewong, Aram ^{[1
]}

Hasegawa, Osamu ^{[1
]}

机构：

[1] Tokyo Inst Technol, Imaging Sci & Engn Lab, Dept Computat Intelligence & Syst Sci, Midori Ku, Yokohama, Kanagawa 227, Japan

来源：

IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6 | 2009年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new approach for vision-based navigation in mobile robots is presented. Instead of incremental spectral clustering (ISC), which is considered state-of-the-art, the method of self-organizing incremental neural networks (SOINN) is used for visual space clustering. Using SOINN, the number of nodes in the topological map matches well with the environment. The time used for incremental map building is markedly less than that used for ISC. Furthermore, the rate of single image classification is higher than that of ISC.

引用

页码：1103 / 1110

页数：8

共 50 条

[41] Review of self-organizing incremental neural network
Qiu T.-Y.
Shen F.-R.
Zhao J.-X.
Ruan Jian Xue Bao/Journal of Software, 2016, 27 (09): : 2230 - 2247
[42] Robust Image-based Visual Servoing of an Aerial Robot Using Self-organizing Neural Networks
Sepahvand, Shayan
Janabi-Sharifi, Farrokh
Masnavi, Houman
Aghili, Farhad
Amiri, Niloufar
International Journal of Control, Automation and Systems, 2024, 22 (12) : 3762 - 3776
[43] Fast Online Incremental Transfer Learning for Unseen Object Classification Using Self-Organizing Incremental Neural Networks
Kawewong, A.
Tangruamsub, S.
Kankuekul, P.
Hasegawa, O.
2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2011, : 749 - 756
[44] Vision-based outdoor navigation using mobile robots
Wolf, Denis F.
Netto, Celio N. S.
2008 5TH LATIN AMERICAN ROBOTICS SYMPOSIUM (LARS 2008), 2008, : 30 - +
[45] Vision-Based Navigation in Autonomous Close Proximity Operations using Neural Networks
Khansari-Zadeh, Seyed Mohammad
Saghafi, Fariborz
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2011, 47 (02) : 864 - 883
[46] Active stereo vision-based mobile robot navigation for person tracking
Enescu, V.
De Cubber, G.
Cauwerts, K.
Sahli, H.
Demeester, E.
Vanhooydonck, D.
Nuttin, M.
INTEGRATED COMPUTER-AIDED ENGINEERING, 2006, 13 (03) : 203 - 222
[47] Stereo vision-based obstacle detecting method for mobile robot navigation
Cho, Yong C., 1600, Publ by Cambridge Univ Press, New York, NY, United States (12):
[48] A STEREO VISION-BASED OBSTACLE DETECTING METHOD FOR MOBILE ROBOT NAVIGATION
CHO, YC
CHO, HS
ROBOTICA, 1994, 12 : 203 - 216
[49] SELF-ORGANIZING CONTROL USING FUZZY NEURAL NETWORKS
YAMAGUCHI, T
TAKAGI, T
MITA, T
INTERNATIONAL JOURNAL OF CONTROL, 1992, 56 (02) : 415 - 439
[50] Exploiting vertical lines in vision-based navigation for mobile robot platforms
Zhou, Jin
Li, Baoxin
2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PTS 1-3, PROCEEDINGS, 2007, : 465 - 468

← 1 2 3 4 5 →