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ORCIDKazuhito Takenaka
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2020 – today
- 2024
[j7]Xizhe Zhang
, Siddartha Khastgir, Justin-Kiyoshi Tiele, Kazuhito Takenaka, Tasuku Hayakawa, Paul A. Jennings:
ODD and Behavior Based Scenario Generation for Automated Driving Systems. IEEE Access 12: 10652-10663 (2024)- 2020
- [c17]Yutaro Itoh, Hiroyuki Nanjo, Mitsuharu Higashitani, Daisuke Hirano, Kazuhito Takenaka:
Real-Time Operational Driving Energy Management with Stochastic Vehicles Behavior Prediction. IV 2020: 2140-2145 - [c16]Felan Carlo C. Garcia, Takatomi Kubo, Chao-Ling Chang, Masafumi Hisada, Takashi Bando, Midori Kato, Masataka Mori, Kazuhito Takenaka, Toshitaka Yamakawa, Koichi Fujiwara, Kazushi Ikeda:
Evaluating Mental State of Drivers in Automated Driving Using Heart Rate Variability towards Feasible Request-to-Intervene. SMC 2020: 3454-3459
2010 – 2019
- 2018
- [j6]Hailong Liu, Tadahiro Taniguchi, Kazuhito Takenaka, Takashi Bando:
Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder. Sensors 18(2): 608 (2018) - [c15]Kazushi Ikeda, Takatomi Kubo, Hiroaki Sasaki, Masataka Mori, Kentarou Hitomi, Kazuhito Takenaka, Kenji Muto:
Anomaly Detection of Roads from Driving Data Using a Statistical Discrepancy Measure. ITSC 2018: 2064-2067 - 2017
- [j5]Hailong Liu, Tadahiro Taniguchi, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando:
Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning. IEEE Trans. Intell. Transp. Syst. 18(9): 2477-2489 (2017) - [c14]Masamichi Shimosaka, Junichi Sato, Kazuhito Takenaka, Kentarou Hitomi:
Fast Inverse Reinforcement Learning with Interval Consistent Graph for Driving Behavior Prediction. AAAI 2017: 1532-1538 - [c13]Hideaki Misawa, Kazuhito Takenaka, Tomoya Sugihara, Hailong Liu, Tadahiro Taniguchi, Takashi Bando:
Prediction of driving behavior based on sequence to sequence model with parametric bias. ITSC 2017: 1-6 - 2016
- [j4]Tadahiro Taniguchi, Kai Furusawa, Hailong Liu, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando:
Determining Utterance Timing of a Driving Agent With Double Articulation Analyzer. IEEE Trans. Intell. Transp. Syst. 17(3): 810-821 (2016) - [j3]Tadahiro Taniguchi, Shogo Nagasaka, Kentarou Hitomi, Naiwala P. Chandrasiri, Takashi Bando, Kazuhito Takenaka:
Sequence Prediction of Driving Behavior Using Double Articulation Analyzer. IEEE Trans. Syst. Man Cybern. Syst. 46(9): 1300-1313 (2016) - [c12]Hailong Liu, Tadahiro Taniguchi, Kazuhito Takenaka, Yusuke Tanaka, Takashi Bando:
Reducing the negative effect of defective data on driving behavior segmentation via a deep sparse autoencoder. GCCE 2016: 1-5 - [c11]Yusuke Fuchida, Tadahiro Taniguchi, Toshiaki Takano, Takuma Mori, Kazuhito Takenaka, Takashi Bando:
Driving word2vec: Distributed semantic vector representation for symbolized naturalistic driving data. Intelligent Vehicles Symposium 2016: 1313-1320 - 2015
- [j2]Tadahiro Taniguchi, Shogo Nagasaka, Kentarou Hitomi, Kazuhito Takenaka, Takashi Bando:
Unsupervised Hierarchical Modeling of Driving Behavior and Prediction of Contextual Changing Points. IEEE Trans. Intell. Transp. Syst. 16(4): 1746-1760 (2015) - [c10]Kazuhito Takenaka, Takashi Bando, Tadahiro Taniguchi:
Automatic generation of summarized driving video with music and captions. IECON 2015: 2409-2414 - [c9]Masataka Mori, Kazuhito Takenaka, Takashi Bando, Tadahiro Taniguchi, Chiyomi Miyajima, Kazuya Takeda:
Automatic lane change extraction based on temporal patterns of symbolized driving behavioral data. Intelligent Vehicles Symposium 2015: 976-981 - [c8]Hailong Liu, Tadahiro Taniguchi, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando:
Essential feature extraction of driving behavior using a deep learning method. Intelligent Vehicles Symposium 2015: 1054-1060 - 2014
- [c7]Takashi Bando, Kazuhito Takenaka, Shogo Nagasaka, Tadahiro Taniguchi:
Generating contextual description from driving behavioral data. Intelligent Vehicles Symposium 2014: 183-189 - [c6]Shogo Nagasaka, Tadahiro Taniguchi, Kentarou Hitomi, Kazuhito Takenaka, Takashi Bando:
Prediction of Next Contextual Changing Point of Driving Behavior Using Unsupervised Bayesian Double Articulation Analyzer. Intelligent Vehicles Symposium 2014: 924-931 - [c5]Hailong Liu, Tadahiro Taniguchi, Toshiaki Takano, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando:
Visualization of driving behavior using deep sparse autoencoder. Intelligent Vehicles Symposium 2014: 1427-1434 - 2013
- [c4]Takashi Bando, Kazuhito Takenaka, Shogo Nagasaka, Tadahiro Taniguchi:
Automatic drive annotation via multimodal latent topic model. IROS 2013: 2744-2749 - [c3]Takashi Bando, Kazuhito Takenaka, Shogo Nagasaka, Tadahiro Taniguchi:
Unsupervised drive topic finding from driving behavioral data. Intelligent Vehicles Symposium 2013: 177-182 - 2012
- [c2]Kazuhito Takenaka, Takashi Bando, Shogo Nagasaka, Tadahiro Taniguchi, Kentarou Hitomi:
Contextual scene segmentation of driving behavior based on double articulation analyzer. IROS 2012: 4847-4852 - [c1]Kazuhito Takenaka, Takashi Bando, Shogo Nagasaka, Tadahiro Taniguchi:
Drive video summarization based on double articulation structure of driving behavior. ACM Multimedia 2012: 1169-1172
2000 – 2009
- 2007
- [j1]Kazuhito Takenaka, Yasuo Nagasaka, Sayaka Hihara, Hiroyuki Nakahara, Atsushi Iriki, Yasuo Kuniyoshi, Naotaka Fujii:
Linear Discrimination Analysis of Monkey Behavior in an Alternative Free Choice Task. J. Robotics Mechatronics 19(4): 416-422 (2007)
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