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Paper Abstract and Keywords
Presentation 2016-09-05 09:00
A Preliminarily Study on Multi-Frames Features for LIDAR-Based Pedestrian Detection
Yoshiki Tatebe, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Utsushi Sakai (DENSO) PRMU2016-57 IBISML2016-12
Abstract (in Japanese) (See Japanese page) 
(in English) In this report, we study multi-frames features extracted by integrating point-clouds of LIDAR over multiple frames. We studied on multi-frames features related to temporal changes and point-cloud density enhancement, and conducted experiments using LIDAR data obtained in an actual environment. Experimental results indicated that the combination of multiple features could detect pedestrians more accurately than using single-frame features.
Keyword (in Japanese) (See Japanese page) 
(in English) LIDAR / pedestrian detection / multi-frames / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 208, PRMU2016-57, pp. 19-24, Sept. 2016.
Paper # PRMU2016-57 
Date of Issue 2016-08-29 (PRMU, IBISML) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 PRMU2016-57 IBISML2016-12

Conference Information
Conference Date 2016-09-05 - 2016-09-06 
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 2016-09-PRMU-CVIM-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Preliminarily Study on Multi-Frames Features for LIDAR-Based Pedestrian Detection 
Sub Title (in English)  
Keyword(1) LIDAR  
Keyword(2) pedestrian detection  
Keyword(3) multi-frames  
1st Author's Name Yoshiki Tatebe  
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 Yasutomo Kawanishi  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Ichiro Ide  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Hiroshi Murase  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Utsushi Sakai  
6th Author's Affiliation DENSO CORPORATION (DENSO)
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Date Time 2016-09-05 09:00:00 
Presentation Time 30 
Registration for PRMU 
Paper # IEICE-PRMU2016-57,IEICE-IBISML2016-12 
Volume (vol) IEICE-116 
Number (no) no.208(PRMU), no.209(IBISML) 
Page pp.19-24 
#Pages IEICE-6 
Date of Issue IEICE-PRMU-2016-08-29,IEICE-IBISML-2016-08-29 

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