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Paper Abstract and Keywords
Presentation 2013-12-12 09:30
A preliminary study on the prediction of pedestrian's detectability considering drivers' characteristics
Ryunosuke Tanishige, Daisuke Deguchi (Nagoya Univ.), Keisuke Doman, Yoshito Mekada (Chukyo Univ.), Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Utsushi Sakai (DENSO CORP.) PRMU2013-69
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, advances in pedestrian detection technology have resulted in the development of driving assistance systems that notify the drivers of the presence of pedestrians. However, warning of all of the presence of pedestrians would confuse the driver. Therefore, it is necessary to develop a method to predict the driver’s perception performance of pedestrian detectability. This report proposes a method that predicts the pedestrian detectability considering the difference between individual drivers. The proposed method constructs a predictor specific to each driver, in order to predict the pedestrian detectability precisely. We confirmed that the proposed method significantly reduces the prediction error in comparison with the existing methods.
Keyword (in Japanese) (See Japanese page) 
(in English) ITS / driver assistance / pedestrian / detectability / personalization / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 346, PRMU2013-69, pp. 5-10, Dec. 2013.
Paper # PRMU2013-69 
Date of Issue 2013-12-05 (PRMU) 
ISSN Print edition: ISSN 0913-5685    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)
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Conference Information
Committee PRMU  
Conference Date 2013-12-12 - 2013-12-13 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2013-12-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A preliminary study on the prediction of pedestrian's detectability considering drivers' characteristics 
Sub Title (in English)  
Keyword(1) ITS  
Keyword(2) driver assistance  
Keyword(3) pedestrian  
Keyword(4) detectability  
Keyword(5) personalization  
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1st Author's Name Ryunosuke Tanishige  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Daisuke Deguchi  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Keisuke Doman  
3rd Author's Affiliation Chukyo University (Chukyo Univ.)
4th Author's Name Yoshito Mekada  
4th Author's Affiliation Chukyo University (Chukyo Univ.)
5th Author's Name Ichiro Ide  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Hiroshi Murase  
6th Author's Affiliation Nagoya University (Nagoya Univ.)
7th Author's Name Utsushi Sakai  
7th Author's Affiliation DENSO CORPORATION (DENSO CORP.)
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Speaker Author-1 
Date Time 2013-12-12 09:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2013-69 
Volume (vol) vol.113 
Number (no) no.346 
Page pp.5-10 
#Pages 6 
Date of Issue 2013-12-05 (PRMU) 

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