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Paper Abstract and Keywords
Presentation 2021-08-26 10:30
Environment suitable camera selector for vehicle localization based on database matching
Haruya Kyutoku, Tokihiko Akita, Seiichi Mita (Toyota Tech. Inst.) PRMU2021-9
Abstract (in Japanese) (See Japanese page) 
(in English) It is necessary to be able to acquire sufficient information from both the input and the database data for the ego-vehicle localization based on the database matching. When a visible-light camera is used, detailed texture information can be obtained. However, the information is lost in adverse environments such as nighttime and backlight. On the other hand, when a far-infrared camera is used, it is robust to such a bad environment, but the texture information is insufficient. Therefore, we proposed the environment suitable camera selector for the localization in order to make effective use of each advantage.
Keyword (in Japanese) (See Japanese page) 
(in English) ego-vehicle localization / local feature / visible-light camera / far-infrared camera / machine learning / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 155, PRMU2021-9, pp. 13-18, Aug. 2021.
Paper # PRMU2021-9 
Date of Issue 2021-08-19 (PRMU) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
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 PRMU2021-9

Conference Information
Committee PRMU  
Conference Date 2021-08-26 - 2021-08-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) CV/PR techniques for human-robot cooperation 
Paper Information
Registration To PRMU 
Conference Code 2021-08-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Environment suitable camera selector for vehicle localization based on database matching 
Sub Title (in English)  
Keyword(1) ego-vehicle localization  
Keyword(2) local feature  
Keyword(3) visible-light camera  
Keyword(4) far-infrared camera  
Keyword(5) machine learning  
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Keyword(7)  
Keyword(8)  
1st Author's Name Haruya Kyutoku  
1st Author's Affiliation Toyota Technological Institute (Toyota Tech. Inst.)
2nd Author's Name Tokihiko Akita  
2nd Author's Affiliation Toyota Technological Institute (Toyota Tech. Inst.)
3rd Author's Name Seiichi Mita  
3rd Author's Affiliation Toyota Technological Institute (Toyota Tech. Inst.)
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Speaker Author-1 
Date Time 2021-08-26 10:30:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2021-9 
Volume (vol) vol.121 
Number (no) no.155 
Page pp.13-18 
#Pages 6 
Date of Issue 2021-08-19 (PRMU) 

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