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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2014-11-18
15:00		 Aichi Nagoya Univ. [Poster Presentation] Symbolization approach for large-scale driving corpus
Takashi Bando, Kazuhito Takenaka, Masataka Mori (DENSO), Tadahiro Taniguchi (Ritsumeikan Univ.), Chiyomi Miyajima, Kazuya Takeda (Nagoya Univ.) IBISML2014-80		 This paper presents symbolization approach of large-scale driving corpus and its applicability to various ITS problems. ... [more] IBISML2014-80
pp.337-343
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
NC, IPSJ-BIO 2013-06-28
09:55		 Okinawa Okinawa Institute of Science and Technology A study on investigating the difference between expert and non-expert drivers using an easy-to-use driving simulator
Ayaka Kato, Tomohiro Shibata (NAIST), Takashi Bando (DENSO), Kazushi Ikeda (NAIST) NC2013-5		 If there exists an in-home driving simulator, it enables licensed or unlicensed drivers to learn various driving behavio... [more] NC2013-5
pp.95-100
SIP, CAS, CS 2013-03-15
15:35		 Yamagata Keio Univ. Tsuruoka Campus (Yamagata) Towards driving behavior prediction: Applying nonparametric Bayesian approach to driving operation time series data
Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata (NAIST), Takashi Bando, Masumi Egawa (DENSO) CAS2012-142 SIP2012-173 CS2012-148		 Prediction of driving behaviors is important problem in developing a next-generation driving support system. In order to... [more] CAS2012-142 SIP2012-173 CS2012-148
pp.265-270
NC, NLP 2009-07-13
15:40		 Nara NAIST Estimation of Driving State by Modeling Brake Pressure Signals
Hiroki Mima, Kazushi Ikeda, Tomohiro Shibata (NAIST), Naoki Fukaya, Kentaro Hitomi, Takashi Bando (DENSO) NLP2009-23 NC2009-16		  [more] NLP2009-23 NC2009-16
pp.49-53
NC 2006-10-11
15:40		 Nara NAIST On-line Probabilistic Factorization for Recovering 3D shape and motion from image streams
Takashi Bando, Tomohiro Shibata (NAIST), Mikio Shimizu, Naoki Fukaya (DENSO), Shin Ishii (NAIST) 		 [more] NC2006-53
pp.49-54
NC 2006-03-15
13:00		 Tokyo Tamagawa University Adaptive Mixing of Proposal Distributions of Hierarchical Particle Filtering and its Application to Real-time Pose Estimation of Rigid Object
Takashi Bando, Tomohiro Shibata (NAIST), Mikio Shimizu (DENSO), Shin Ishii (NAIST) 		One of the major drawbacks of Particle Filters (PFs) is that a large number of particles are generally required for accu... [more] NC2005-119
pp.79-84
 Results 1 - 7 of 7  /   
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