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Paper Abstract and Keywords
Presentation 2018-06-12 13:55
Towards ADAS Map: Automatic Extraction and Integration of Semantic Traffic Regulation from MMS Data
Yue Zhang, Ehsan Javanmardi, Mahdi Javanmardi, Yanlei Gu, Shunsuke Kamijo (UTokyo) ITS2018-2
Abstract (in Japanese) (See Japanese page) 
(in English) Advanced Driver Assistance Systems (ADAS) map is one of the most important components for autonomous driving. And traffic facilities such as road markings, traffic lights and traffic signs which provide semantic information (traffic regulations) for vehicles, are essential parts of the ADAS map. However, traditional methods add the semantic information into map in a manual way, which are costly and time-consuming. Toward ADAS map, we present a framework for extraction and integration of semantic traffic regulation from Mobile Mapping System (MMS) data automatically. In this paper, we focus on the road marking extraction and traffic light detection by means of deep learning and point cloud intensity information from the data recorded by MMS. Experiments have been conducted around Hitotsubashi intersection, a dense urban area of Tokyo, Japan. The results show the effectiveness of our proposed solution and potential capability for mapping.
Keyword (in Japanese) (See Japanese page) 
(in English) ADAS map / Point cloud / Deep learning / Semantic traffic regulation / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 79, ITS2018-2, pp. 7-12, June 2018.
Paper # ITS2018-2 
Date of Issue 2018-06-05 (ITS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 ITS2018-2

Conference Information
Committee ITS  
Conference Date 2018-06-12 - 2018-06-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Positioning for ITS, etc. 
Paper Information
Registration To ITS 
Conference Code 2018-06-ITS 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Towards ADAS Map: Automatic Extraction and Integration of Semantic Traffic Regulation from MMS Data 
Sub Title (in English)  
Keyword(1) ADAS map  
Keyword(2) Point cloud  
Keyword(3) Deep learning  
Keyword(4) Semantic traffic regulation  
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1st Author's Name Yue Zhang  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Ehsan Javanmardi  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Mahdi Javanmardi  
3rd Author's Affiliation The University of Tokyo (UTokyo)
4th Author's Name Yanlei Gu  
4th Author's Affiliation The University of Tokyo (UTokyo)
5th Author's Name Shunsuke Kamijo  
5th Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2018-06-12 13:55:00 
Presentation Time 25 minutes 
Registration for ITS 
Paper # ITS2018-2 
Volume (vol) vol.118 
Number (no) no.79 
Page pp.7-12 
#Pages
Date of Issue 2018-06-05 (ITS) 


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