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2020 – today
- 2023
[j8]Amirhossein Zaji
, Zheng Liu, Takashi Bando, Lihua Zhao:
Ontology-Based Driving Simulation for Traffic Lights Optimization. ACM Trans. Intell. Syst. Technol. 14(3): 39:1-39:26 (2023)- 2020
- [c32]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
- 2019
- [c31]Daiki Hayashi, Yunfei Xu, Takashi Bando, Kazuya Takeda:
A Predictive Reward Function for Human-Like Driving Based on a Transition Model of Surrounding Environment. ICRA 2019: 7618-7624 - [c30]Haris Volos, Takashi Bando, Kenji Konishi:
ReLaDec: Reliable Latency Decision Algorithm for Connected Vehicle Applications. IV 2019: 1861-1868 - [c29]Yong Xiao, Marwan Krunz, Haris Volos, Takashi Bando:
Driving in the Fog: Latency Measurement, Modeling, and Optimization of LTE-based Fog Computing for Smart Vehicles. SECON 2019: 1-9 - 2018
- [j7]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) - [c28]Haris Volos, Takashi Bando, Kenji Konishi:
Latency Modeling for Mobile Edge Computing Using LTE Measurements. VTC Fall 2018: 1-5 - 2017
- [j6]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) - [c27]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
- [j5]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) - [j4]Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Takashi Bando, Kentarou Hitomi, Masumi Egawa:
Modeling and Prediction of Driving Behaviors Using a Nonparametric Bayesian Method With AR Models. IEEE Trans. Intell. Veh. 1(2): 131-138 (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) - [c26]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 - [c25]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) - [c24]Kazuhito Takenaka, Takashi Bando, Tadahiro Taniguchi:
Automatic generation of summarized driving video with music and captions. IECON 2015: 2409-2414 - [c23]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 - [c22]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 - [c21]Chiyomi Miyajima, Suguru Yamazaki, Takashi Bando, Kentarou Hitomi, Hitoshi Terai, Hiroyuki Okuda, Takatsugu Hirayama, Masumi Egawa, Tatsuya Suzuki, Kazuya Takeda:
Analyzing driver gaze behavior and consistency of decision making during automated driving. Intelligent Vehicles Symposium 2015: 1293-1298 - 2014
- [c20]Takatomi Kubo, Ryunosuke Hamada, Zujie Zhang, Kazushi Ikeda, Takashi Bando, Kentarou Hitomi, Masumi Egawa:
Prediction of driving behaviors in intersections based on a supervised dimension reduction considering locality. ITSC 2014: 1487-1489 - [c19]Takashi Bando, Kazuhito Takenaka, Shogo Nagasaka, Tadahiro Taniguchi:
Generating contextual description from driving behavioral data. Intelligent Vehicles Symposium 2014: 183-189 - [c18]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 - [c17]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
- [c16]Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Takashi Bando, Masumi Egawa:
A comparative study of time series modeling for driving behavior towards prediction. APSIPA 2013: 1-4 - [c15]Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Takashi Bando, Masumi Egawa:
Applying Bayesian nonparametrics to non-homogeneous driving operation data towards prediction. EUSIPCO 2013: 1-5 - [c14]Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Takashi Bando, Masumi Egawa:
Towards prediction of driving behavior via basic pattern discovery with BP-AR-HMM. ICASSP 2013: 2805-2809 - [c13]Takashi Bando, Kazuhito Takenaka, Shogo Nagasaka, Tadahiro Taniguchi:
Automatic drive annotation via multimodal latent topic model. IROS 2013: 2744-2749 - [c12]Takashi Bando, Kazuhito Takenaka, Shogo Nagasaka, Tadahiro Taniguchi:
Unsupervised drive topic finding from driving behavioral data. Intelligent Vehicles Symposium 2013: 177-182 - 2012
- [c11]Yusuke Tamura, Phuoc Dai Le, Kentarou Hitomi, Naiwala P. Chandrasiri, Takashi Bando, Atsushi Yamashita, Hajime Asama:
Development of pedestrian behavior model taking account of intention. IROS 2012: 382-387 - [c10]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 - [c9]Takashi Bando, Tomohiro Shibata:
Networked driving simulator based on SIGVerse and lane-change analysis according to frequency of driving. ITSC 2012: 1608-1613 - [c8]Tadahiro Taniguchi, Shogo Nagasaka, Kentarou Hitomi, Naiwala P. Chandrasiri, Takashi Bando:
Semiotic prediction of driving behavior using unsupervised double articulation analyzer. Intelligent Vehicles Symposium 2012: 849-854 - [c7]Kazuhito Takenaka, Takashi Bando, Shogo Nagasaka, Tadahiro Taniguchi:
Drive video summarization based on double articulation structure of driving behavior. ACM Multimedia 2012: 1169-1172 - [c6]Shogo Nagasaka, Tadahiro Taniguchi, Genki Yamashita, Kentarou Hitomi, Takashi Bando:
Finding meaningful robust chunks from driving behavior based on double articulation analyzer. SII 2012: 535-540 - 2011
- [c5]Takashi Bando, Takayuki Miyahara, Yukimasa Tamatsu:
Traffic interactions: Estimate driving behavior's influence. Intelligent Vehicles Symposium 2011: 546-551
2000 – 2009
- 2009
- [c4]Hiroki Mima, Kazushi Ikeda, Tomohiro Shibata, Naoki Fukaya, Kentarou Hitomi, Takashi Bando:
Estimation of Driving Phase by Modeling Brake Pressure Signals. ICONIP (1) 2009: 468-475 - 2008
- [c3]Kentarou Hitomi, Takashi Bando, Naoki Fukaya, Kazushi Ikeda, Tomohiro Shibata:
Online Multibody Factorization Based on Bayesian Principal Component Analysis of Gaussian Mixture Models. ICONIP (1) 2008: 679-687 - 2007
- [c2]Tomohiro Shibata, Takashi Bando, Shin Ishii:
Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions. ICONIP (1) 2007: 604-613 - 2006
- [j1]Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii:
Switching particle filters for efficient visual tracking. Robotics Auton. Syst. 54(10): 873-884 (2006) - 2004
- [c1]Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii:
Switching Particle Filters for Efficient Real-time Visual Tracking. ICPR (2) 2004: 720-723
Coauthor Index
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