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Paper Abstract and Keywords
Presentation 2013-02-22 13:30
Track to Track Association Algorithm under Multi-Sensor Network Considering Track Shape
Yoshiaki Yokoyama, Isao Aoyama, Hiroshi Kameda (Mitsubishi Electric Corp.) SANE2012-159
Abstract (in Japanese) (See Japanese page) 
(in English) The track-to-track association which determine the pairing of sensor tracks that correspond to the same true target is a fundamental problem in multi-sensor data fusion, which integrate radar/sensor observation and targets track data from the different sensors. Moreover, track-to-track association such as conventional GNN(Global Nearest Neighbor) is much more difficult by the presence of individual sensor biases. In this paper, we propose a track-to-track association algorithm termed track shape matching, which extracts the track shape from target track group of each sensor, and then matches track shape between sensors. Through computer simulation trials, the validity of our method was confirmed.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-Sensor Network / Data Fusion / Track-to-Track Association / Sensor Bias Error / Target Tracking / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 439, SANE2012-159, pp. 61-66, Feb. 2013.
Paper # SANE2012-159 
Date of Issue 2013-02-14 (SANE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SANE2012-159

Conference Information
Committee SANE SAT  
Conference Date 2013-02-21 - 2013-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Youth Center of Okinawa prefecture 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Satellite application and general 
Paper Information
Registration To SANE 
Conference Code 2013-02-SANE-SAT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Track to Track Association Algorithm under Multi-Sensor Network Considering Track Shape 
Sub Title (in English)  
Keyword(1) Multi-Sensor Network  
Keyword(2) Data Fusion  
Keyword(3) Track-to-Track Association  
Keyword(4) Sensor Bias Error  
Keyword(5) Target Tracking  
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1st Author's Name Yoshiaki Yokoyama  
1st Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Corp.)
2nd Author's Name Isao Aoyama  
2nd Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Corp.)
3rd Author's Name Hiroshi Kameda  
3rd Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric Corp.)
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Speaker Author-1 
Date Time 2013-02-22 13:30:00 
Presentation Time 25 minutes 
Registration for SANE 
Paper # SANE2012-159 
Volume (vol) vol.112 
Number (no) no.439 
Page pp.61-66 
#Pages
Date of Issue 2013-02-14 (SANE) 


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