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Paper Abstract and Keywords
Presentation 2021-09-08 13:25
Development and Evaluation of a Contact Accident Prevention System around Snowplows utilizing LiDAR and Machine Learning Technologies
Kohei Omachi, Hiroshi Yamamoto (Ritsumeikan Univ.), Yoshinori Kitatsuji (KDDI Research, Inc.) IA2021-20
Abstract (in Japanese) (See Japanese page) 
(in English) In heavy snowfall areas, snow removal work by snowplows plays a significant role in securing transportation for local residents. However, there are many pedestrians and cars approaching the snowplows unintentionally, and the snowplow operators pay attention to avoid the contact accidents with them, which reduces the efficiency of the snow removal work. As a result, it takes a long time to clean the road for keeping the safe and secure life of local residents. Therefore, in this study, we develop a new contact accident prevention system around snowplows that uses LiDAR to detect the existence of pedestrians and cars approaching snowplows and notifies the snowplow operator in real time. In this system, LiDAR is used to observe the condition around the snowplow even at night, and the sensor node installed on the snowplow analyzes the 3D point cloud data measured by LiDAR and notifies the snowplow operator of the results in real time. The proposed system adopts the system structure of edge computing so that the system can be used in environments where high-speed mobile communications are not available, and the system cannot be linked to computing resources on the Internet (such as in mountainous areas). In addition, a machine learning method is utilized for detecting the existence of pedestrians and cars with high accuracy and speed from 3D point cloud data measured by LiDAR.
Keyword (in Japanese) (See Japanese page) 
(in English) LiDAR / 3D point cloud / machine learning / support for snow removal work / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 167, IA2021-20, pp. 36-41, Sept. 2021.
Paper # IA2021-20 
Date of Issue 2021-09-01 (IA) 
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 IA2021-20

Conference Information
Committee IA  
Conference Date 2021-09-08 - 2021-09-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet Operation and Management, etc. 
Paper Information
Registration To IA 
Conference Code 2021-09-IA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development and Evaluation of a Contact Accident Prevention System around Snowplows utilizing LiDAR and Machine Learning Technologies 
Sub Title (in English)  
Keyword(1) LiDAR  
Keyword(2) 3D point cloud  
Keyword(3) machine learning  
Keyword(4) support for snow removal work  
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1st Author's Name Kohei Omachi  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Hiroshi Yamamoto  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Yoshinori Kitatsuji  
3rd Author's Affiliation KDDI Research, Inc. (KDDI Research, Inc.)
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Speaker Author-1 
Date Time 2021-09-08 13:25:00 
Presentation Time 25 minutes 
Registration for IA 
Paper # IA2021-20 
Volume (vol) vol.121 
Number (no) no.167 
Page pp.36-41 
#Pages 6 
Date of Issue 2021-09-01 (IA) 

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