Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2024-11-29 13:50
Conversion of point cloud data for object detection with heterogeneous LiDAR sensors
Takemaru Kudo, Ryoichi Shinkuma, Gabriele Trovato (SIT) SRW2024-44 SeMI2024-56
Abstract (in Japanese) (See Japanese page) 
(in English) Smart cities aim to enhance quality of life by integrating various types of sensors, networks, and data processing technologies, and smart monitoring is an important component of smart cities. An Object detection system using point cloud data from light detection and ranging (LiDAR) sensors is valuable in smart monitoring applications, such as traffic accident prevention and human flow measurement. However, different LiDAR sensor models produce point cloud data with different features. In the context of object detection using deep learning models, it is known that differences in the features of the point cloud data in training and testing can result in poor detection accuracy. To address this challenge, we present an object detection system based on point cloud conversion. The system applies up-sampling process and down-sampling process to the point cloud data as a pre-processing step to mitigate the differences in the features of the point cloud due to different LiDAR sensor models. This report validates the effectiveness of the point cloud conversion by training object detection models on a popular dataset and evaluating its accuracy using point cloud data acquired by different models of LiDAR sensors.
Keyword (in Japanese) (See Japanese page) 
(in English) object detection / 3D sensor system / point cloud / conversion for heterogeneous LiDAR system / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 277, SeMI2024-56, pp. 76-77, Nov. 2024.
Paper # SeMI2024-56 
Date of Issue 2024-11-21 (SRW, 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 SRW2024-44 SeMI2024-56

Conference Information
Committee SRW SeMI  
Conference Date 2024-11-28 - 2024-11-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Univ. of Science Katsushika Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT Workshop 
Paper Information
Registration To SeMI 
Conference Code 2024-11-SRW-SeMI 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Conversion of point cloud data for object detection with heterogeneous LiDAR sensors 
Sub Title (in English)  
Keyword(1) object detection  
Keyword(2) 3D sensor system  
Keyword(3) point cloud  
Keyword(4) conversion for heterogeneous LiDAR system  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Takemaru Kudo  
1st Author's Affiliation Shibaura Institute of technology (SIT)
2nd Author's Name Ryoichi Shinkuma  
2nd Author's Affiliation Shibaura Institute of technology (SIT)
3rd Author's Name Gabriele Trovato  
3rd Author's Affiliation Shibaura Institute of technology (SIT)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2024-11-29 13:50:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SRW2024-44, SeMI2024-56 
Volume (vol) vol.124 
Number (no) no.276(SRW), no.277(SeMI) 
Page pp.76-77 
#Pages 2 
Date of Issue 2024-11-21 (SRW, SeMI) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan