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Paper Abstract and Keywords
Presentation 2021-01-26 09:50
FPGA Implementation of Semantic Segmentation on LWIR Images for Autonomous Robot
Yuichiro Niwa (ATLA), Taiki Fujii (eSOL) VLD2020-57 CPSY2020-40 RECONF2020-76
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, deep learning of images has made remarkable progress, and its results are being applied to the automatic
recognition function of surveillance cameras and automated driving and other robot vision applications. The daylight cameras
are currently the most common vision sensors. However, there is a limit to the use them in dark places and in environments with
illumination changes. On the other hand, a Long-wave infrared(LWIR) camera has negligible effect on the sensing performance
in these conditions and can be used continuously and stably in such environments. In this paper, we introduce a method for
detecting and recognizing obstacles such as vehicles and people, and for identifying driveways and other free spaces by using a
convolutional neural network (LWIRSegNet) to segment LWIR images into semantic regions. We also propose a low-cost
training method for training data preparation and annotation. In order to use it as an obstacle avoidance function of an autonomous
robot, we have implemented it in a small, low power and high speed FPGA. In this paper, we describe the construction of
LWIRSegNet on an autonomous mobile robot and its implementation on a Xilinx ZCU102 FPGA board using the DNNDK
toolkit. We also propose a low-cost training method for training data preparation and annotation. The experimental results show
that the inference speed of LWIRSegNet on FPGA is 102 fps, and the obstacle avoidance control cycle of the autonomous robot
using LWIRSegNet on FPGA is 100 Hz.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / FPGA / Semantic Segmentation / Long-Wave Infrared(LWIR) / Autonomous Robot / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 339, RECONF2020-76, pp. 101-106, Jan. 2021.
Paper # RECONF2020-76 
Date of Issue 2021-01-18 (VLD, CPSY, RECONF) 
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 VLD2020-57 CPSY2020-40 RECONF2020-76

Conference Information
Committee CPSY RECONF VLD IPSJ-ARC IPSJ-SLDM  
Conference Date 2021-01-25 - 2021-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) FPGA Applications, etc. 
Paper Information
Registration To RECONF 
Conference Code 2021-01-CPSY-RECONF-VLD-ARC-SLDM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) FPGA Implementation of Semantic Segmentation on LWIR Images for Autonomous Robot 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) FPGA  
Keyword(3) Semantic Segmentation  
Keyword(4) Long-Wave Infrared(LWIR)  
Keyword(5) Autonomous Robot  
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Keyword(7)  
Keyword(8)  
1st Author's Name Yuichiro Niwa  
1st Author's Affiliation Acquisition,Technology & Logistics Agency (ATLA)
2nd Author's Name Taiki Fujii  
2nd Author's Affiliation eSOL Co.Ltd. (eSOL)
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Speaker Author-1 
Date Time 2021-01-26 09:50:00 
Presentation Time 25 minutes 
Registration for RECONF 
Paper # VLD2020-57, CPSY2020-40, RECONF2020-76 
Volume (vol) vol.120 
Number (no) no.337(VLD), no.338(CPSY), no.339(RECONF) 
Page pp.101-106 
#Pages
Date of Issue 2021-01-18 (VLD, CPSY, RECONF) 


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