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Paper Abstract and Keywords
Presentation 2022-11-24 11:50
Line-extraction-based non-parametric regression of 2D LiDAR point cloud
Ryoga Kubota, Akihito Taya, Yoshito Tobe (Aoyama Gakuin Univ.) SeMI2022-49
Abstract (in Japanese) (See Japanese page) 
(in English) 2D LiDAR provides point cloud data containing distance and angle information. However, a point cloud is a set of non-uniform data samples and is difficult to handle during analysis. In this study, assuming that the indoor environment includes many flat surfaces such as walls and furniture, we derive an analytical solution that represents the distance at an arbitrary angle by linearly approximating the point cloud acquired with 2D LiDAR. Furthermore, we attempt to compress the point cloud data by applying this method.
Keyword (in Japanese) (See Japanese page) 
(in English) point cloud data / 2D LiDAR / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 278, SeMI2022-49, pp. 1-5, Nov. 2022.
Paper # SeMI2022-49 
Date of Issue 2022-11-17 (SeMI) 
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 SeMI2022-49

Conference Information
Committee SRW SeMI CNR  
Conference Date 2022-11-24 - 2022-11-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Epinard Nasu 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT Workshop 
Paper Information
Registration To SeMI 
Conference Code 2022-11-SRW-SeMI-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Line-extraction-based non-parametric regression of 2D LiDAR point cloud 
Sub Title (in English)  
Keyword(1) point cloud data  
Keyword(2) 2D LiDAR  
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1st Author's Name Ryoga Kubota  
1st Author's Affiliation Aoyama Gakuin University (Aoyama Gakuin Univ.)
2nd Author's Name Akihito Taya  
2nd Author's Affiliation Aoyama Gakuin University (Aoyama Gakuin Univ.)
3rd Author's Name Yoshito Tobe  
3rd Author's Affiliation Aoyama Gakuin University (Aoyama Gakuin Univ.)
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Speaker Author-1 
Date Time 2022-11-24 11:50:00 
Presentation Time 20 minutes 
Registration for SeMI 
Paper # SeMI2022-49 
Volume (vol) vol.122 
Number (no) no.278 
Page pp.1-5 
#Pages 5 
Date of Issue 2022-11-17 (SeMI) 

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