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Paper Abstract and Keywords
Presentation 2024-03-01 13:00
A LiDAR-Based Dynamic Wide Area Map Generation Method for VANETs
Sho Ibuki, Masami Yoshida, Taku Noguchi (Ritsumeikan Univ.) NS2023-227
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, LiDAR technology has emerged as a crucial component for developing autonomous driving and ADAS. Due to its high luminous flux density compared to radio waves, LiDAR enables accurate object detection and shape recognition, providing real-time responses to dynamic road conditions. However, sensor placement can create blind spots, hindering recognition due to obstructions from other vehicles or buildings. This paper proposes a method for dynamically generating wide-area maps to address these blind spots. Vehicles equipped with LiDAR form a VANET and share the acquired point cloud data. In order to demonstrate the effectiveness of the proposed method, simulation experiments were conducted using Matlab, Simulink, and Unreal Engine4. The point cloud maps generated by multiple LiDARs were integrated into a single map on a simulated road with blind spots, and the match rate with the actual terrain was evaluated.
Keyword (in Japanese) (See Japanese page) 
(in English) VANET / LiDAR / V2V / autonomous driving / ADAS / point cloud integration / SLAM /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 397, NS2023-227, pp. 323-328, Feb. 2024.
Paper # NS2023-227 
Date of Issue 2024-02-22 (NS) 
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 NS2023-227

Conference Information
Committee NS IN  
Conference Date 2024-02-29 - 2024-03-01 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NS 
Conference Code 2024-02-NS-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A LiDAR-Based Dynamic Wide Area Map Generation Method for VANETs 
Sub Title (in English)  
Keyword(1) VANET  
Keyword(2) LiDAR  
Keyword(3) V2V  
Keyword(4) autonomous driving  
Keyword(5) ADAS  
Keyword(6) point cloud integration  
Keyword(7) SLAM  
Keyword(8)  
1st Author's Name Sho Ibuki  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Masami Yoshida  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Taku Noguchi  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Speaker Author-1 
Date Time 2024-03-01 13:00:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2023-227 
Volume (vol) vol.123 
Number (no) no.397 
Page pp.323-328 
#Pages 6 
Date of Issue 2024-02-22 (NS) 

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