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Paper Abstract and Keywords
Presentation 2025-01-29 14:10
[Invited Talk] Signal Processing for Automotive Surround-View Radar -- Proposed Method Aiming toward Higher Imaging Performance --
Katsuhisa Kashiwagi (Murata) IT2024-39 SIP2024-78 RCS2024-222
Abstract (in Japanese) (See Japanese page) 
(in English) Autonomous driving utilizing higher Advanced Driver Assistance System (ADAS) has been expected to be resolving the social problems such as the shortage of drivers in transport sector and maintaining mobility in rural areas against an ageing society in Japan. As driving control is taken over to system beyond level 2, many more sensors are required to detect obstacles surrounding a vehicle instead of the human. One of these, Radio detection and ranging (Radar) has been regarded as an important role for achieving Autonomous driving because of its robustness against weather condition compared to that of other sensors such as camera, Light Detection And Ranging (LiDAR), and ultrasonic sensor. On the other hand, because Radar has been known for detecting fewer points of obstacles compared to that of LiDAR, the imaging performance for recognizing the shape of an obstacle is inferior to that of LiDAR or camera. However, in recent years, the imaging performance of radar has become better than before thanks to the advanced technologies of integrated circuit design, smaller size antennas using millimeter-waves (such as 60 GHz, 76 GHz, and 79 GHz band), such types of modules have been seen more than before in the market. In terms of software development, the high-resolution algorithms have been proposed, making smaller size of radar module possible. In this paper, we propose the key technologies especially focusing on their improvement of imaging performance for automotive surround-view Radar aiming toward higher ADAS level.
Keyword (in Japanese) (See Japanese page) 
(in English) Automotive surround-view Radar / High resolution algorithm / Autonomous driving / / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 365, SIP2024-78, pp. 79-84, Jan. 2025.
Paper # SIP2024-78 
Date of Issue 2025-01-22 (IT, SIP, RCS) 
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 IT2024-39 SIP2024-78 RCS2024-222

Conference Information
Committee RCS SIP IT  
Conference Date 2025-01-29 - 2025-01-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Kaikyou-messe 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal Processing for Wireless Communications, Learning, Mathematics, Information Theory, etc. 
Paper Information
Registration To SIP 
Conference Code 2025-01-RCS-SIP-IT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Signal Processing for Automotive Surround-View Radar 
Sub Title (in English) Proposed Method Aiming toward Higher Imaging Performance 
Keyword(1) Automotive surround-view Radar  
Keyword(2) High resolution algorithm  
Keyword(3) Autonomous driving  
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1st Author's Name Katsuhisa Kashiwagi  
1st Author's Affiliation Murata Manufacturing Co., Ltd. (Murata)
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Speaker Author-1 
Date Time 2025-01-29 14:10:00 
Presentation Time 50 minutes 
Registration for SIP 
Paper # IT2024-39, SIP2024-78, RCS2024-222 
Volume (vol) vol.124 
Number (no) no.364(IT), no.365(SIP), no.366(RCS) 
Page pp.79-84 
#Pages 6 
Date of Issue 2025-01-22 (IT, SIP, RCS) 

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