Paper Abstract and Keywords |
Presentation |
2008-03-14 15:30
Detection Of Approaching Vehicles By Sound Information Using Pulsed Neural Networks Takeshi Fujisumi, Kaname Iwasa, Mauricio Kugler, Susumu Kuroyanagi, Akira Iwata (NIT), Tomoyuki Nakamura, Tokihiko Akita (AISIN), Fumihiro Watanabe, Tetsunori Haraguchi (TOYOTA) NC2007-186 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, the traffic accidents caused by the drivers' carelessness have become a problem. Human being's aural system plays an important role in understanding the marginal environment. In this research, we apply a pulsed neural network based aural information processing model in order to implement a safe driving support system able to detect the approach of vehicles and other objects from backward. The proposed system can detect if the sound source is approaching or moving away. Experimental results show that the system could successfully detect a scooter approaching from backward in real environment. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
safe driving support system / pulsed neuron model / approaching sound source / sound localization / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 542, NC2007-186, pp. 439-444, March 2008. |
Paper # |
NC2007-186 |
Date of Issue |
2008-03-05 (NC) |
ISSN |
Print edition: ISSN 0913-5685 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 |
NC2007-186 |
|