|
|
All Technical Committee Conferences (Searched in: All Years)
|
|
Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
|
Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IPSJ-CVIM, IBISML [detail] |
2016-09-05 09:00 |
Toyama |
|
A Preliminarily Study on Multi-Frames Features for LIDAR-Based Pedestrian Detection Yoshiki Tatebe, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Utsushi Sakai (DENSO) PRMU2016-57 IBISML2016-12 |
In this report, we study multi-frames features extracted by integrating point-clouds of LIDAR over multiple frames. We s... [more] |
PRMU2016-57 IBISML2016-12 pp.19-24 |
PRMU |
2014-10-09 14:30 |
Chiba |
|
A study on features for pedestrian detection using a low resolution LIDAR Yoshinori Ichikawa, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Hideaki Misawa, Utsushi Sakai (DENSO) PRMU2014-55 |
In recent years, LIDAR (LIght Detection And Ranging) is focused as a sensor for recognizing surrounding environment arou... [more] |
PRMU2014-55 pp.7-12 |
PRMU |
2013-12-12 09:30 |
Mie |
|
A preliminary study on the prediction of pedestrian's detectability considering drivers' characteristics Ryunosuke Tanishige, Daisuke Deguchi (Nagoya Univ.), Keisuke Doman, Yoshito Mekada (Chukyo Univ.), Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Utsushi Sakai (DENSO CORP.) PRMU2013-69 |
In recent years, advances in pedestrian detection technology have resulted in the development of driving assistance syst... [more] |
PRMU2013-69 pp.5-10 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2013-09-03 10:00 |
Tottori |
|
Reusing pre-trained classifiers as feature descriptors for adaptation to general dataset Takashi Bando, Kazuhito Takenaka, Tehrani Hossein, Utsushi Sakai (DENSO) PRMU2013-46 IBISML2013-26 |
Recently, various advanced driver assistance systems have been developed, e.g., collision-warning system that detect ped... [more] |
PRMU2013-46 IBISML2013-26 pp.155-160 |
|
|
|
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)
|
[Return to Top Page]
[Return to IEICE Web Page]
|