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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 27, Number 8 (2015)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 755-761
S&M1112 Research Paper of Special Issue https://doi.org/10.18494/SAM.2015.1106 Published: September 7, 2015 Using Laser Range Finder and Multitarget Tracking-Learning-Detection Algorithm for Intelligent Mobile Robot [PDF] Jr-Hung Guo and Kuo-Lan Su (Received July 2, 2014; Accepted February 10, 2015) Keywords: laser ranger finder, multitarget tracking, tracking-learning-detection (TLD), intelligent mobile robot
Self-positioning and obstacle avoidance for an intelligent mobile robot plays an important role in the technologies of the mobile robot. Because of its capabilities of fast response and accurate measurement, the laser range finder (LRF) is a relatively good choice as a sensor for this purpose. However, there are some drawbacks of the LRF. One is that the LRF usually senses in the horizontal plane, and thus the obstacle may not be detected if it is not in the detection plane. Obstacles with high reflectivity will also cause the LRFs to have incorrect detections. Both will lead the mobile robot to a dangerous situation. In this paper, a modified tracking-learning-detection (TLD) image recognition system, which can detect multiple targets simultaneously, is used to assist LRF in positioning and obstacle avoidance.
Corresponding author: Jr-Hung Guo Cite this article Jr-Hung Guo and Kuo-Lan Su, Using Laser Range Finder and Multitarget Tracking-Learning-Detection Algorithm for Intelligent Mobile Robot, Sens. Mater., Vol. 27, No. 8, 2015, p. 755-761. |
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