Switching Particle Filters for Efficient Real-time Visual Tracking. - Takashi Bando; Tomohiro Shibata; Kenji Doya; Shin Ishii (ICPR (2), 2004)

Switching particle filters for efficient visual tracking. - Takashi Bando; Tomohiro Shibata; Kenji Doya; Shin Ishii (Robotics Auton. Syst., 2006)

Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions. - Tomohiro Shibata; Takashi Bando; Shin Ishii (ICONIP (1), 2007)

Online Multibody Factorization Based on Bayesian Principal Component Analysis of Gaussian Mixture Models. - Kentarou Hitomi; Takashi Bando; Naoki Fukaya; Kazushi Ikeda; Tomohiro Shibata (ICONIP (1), 2008)

Estimation of Driving Phase by Modeling Brake Pressure Signals. - Hiroki Mima; Kazushi Ikeda; Tomohiro Shibata; Naoki Fukaya; Kentarou Hitomi; Takashi Bando (ICONIP (1), 2009)

Traffic interactions: Estimate driving behavior's influence. - Takashi Bando; Takayuki Miyahara; Yukimasa Tamatsu (Intelligent Vehicles Symposium, 2011)

Contextual scene segmentation of driving behavior based on double articulation analyzer. - Kazuhito Takenaka; Takashi Bando; Shogo Nagasaka; Tadahiro Taniguchi; Kentarou Hitomi (IROS, 2012)

Development of pedestrian behavior model taking account of intention. - Yusuke Tamura; Phuoc Dai Le; Kentarou Hitomi; Naiwala P. Chandrasiri; Takashi Bando; Atsushi Yamashita; Hajime Asama (IROS, 2012)

Networked driving simulator based on SIGVerse and lane-change analysis according to frequency of driving. - Takashi Bando; Tomohiro Shibata (ITSC, 2012)

Semiotic prediction of driving behavior using unsupervised double articulation analyzer. - Tadahiro Taniguchi; Shogo Nagasaka; Kentarou Hitomi; Naiwala P. Chandrasiri; Takashi Bando (Intelligent Vehicles Symposium, 2012)

Drive video summarization based on double articulation structure of driving behavior. - Kazuhito Takenaka; Takashi Bando; Shogo Nagasaka; Tadahiro Taniguchi (ACM Multimedia, 2012)

Finding meaningful robust chunks from driving behavior based on double articulation analyzer. - Shogo Nagasaka; Tadahiro Taniguchi; Genki Yamashita; Kentarou Hitomi; Takashi Bando (SII, 2012)

A comparative study of time series modeling for driving behavior towards prediction. - Ryunosuke Hamada; Takatomi Kubo; Kazushi Ikeda; Zujie Zhang; Takashi Bando; Masumi Egawa (APSIPA, 2013)

Applying Bayesian nonparametrics to non-homogeneous driving operation data towards prediction. - Ryunosuke Hamada; Takatomi Kubo; Kazushi Ikeda; Zujie Zhang; Tomohiro Shibata; Takashi Bando; Masumi Egawa (EUSIPCO, 2013)

Towards prediction of driving behavior via basic pattern discovery with BP-AR-HMM. - Ryunosuke Hamada; Takatomi Kubo; Kazushi Ikeda; Zujie Zhang; Tomohiro Shibata; Takashi Bando; Masumi Egawa (ICASSP, 2013)

Automatic drive annotation via multimodal latent topic model. - Takashi Bando; Kazuhito Takenaka; Shogo Nagasaka; Tadahiro Taniguchi (IROS, 2013)

Unsupervised drive topic finding from driving behavioral data. - Takashi Bando; Kazuhito Takenaka; Shogo Nagasaka; Tadahiro Taniguchi (Intelligent Vehicles Symposium, 2013)

Prediction of driving behaviors in intersections based on a supervised dimension reduction considering locality. - Takatomi Kubo; Ryunosuke Hamada; Zujie Zhang; Kazushi Ikeda; Takashi Bando; Kentarou Hitomi; Masumi Egawa (ITSC, 2014)

Generating contextual description from driving behavioral data. - Takashi Bando; Kazuhito Takenaka; Shogo Nagasaka; Tadahiro Taniguchi (Intelligent Vehicles Symposium, 2014)

Visualization of driving behavior using deep sparse autoencoder. - Hailong Liu; Tadahiro Taniguchi; Toshiaki Takano; Yusuke Tanaka 003; Kazuhito Takenaka; Takashi Bando (Intelligent Vehicles Symposium, 2014)

Prediction of Next Contextual Changing Point of Driving Behavior Using Unsupervised Bayesian Double Articulation Analyzer. - Shogo Nagasaka; Tadahiro Taniguchi; Kentarou Hitomi; Kazuhito Takenaka; Takashi Bando (Intelligent Vehicles Symposium, 2014)

Automatic generation of summarized driving video with music and captions. - Kazuhito Takenaka; Takashi Bando; Tadahiro Taniguchi (IECON, 2015)

Essential feature extraction of driving behavior using a deep learning method. - Hailong Liu; Tadahiro Taniguchi; Yusuke Tanaka 003; Kazuhito Takenaka; Takashi Bando (Intelligent Vehicles Symposium, 2015)

Analyzing driver gaze behavior and consistency of decision making during automated driving. - Chiyomi Miyajima; Suguru Yamazaki; Takashi Bando; Kentarou Hitomi; Hitoshi Terai; Hiroyuki Okuda; Takatsugu Hirayama; Masumi Egawa; Tatsuya Suzuki 001; Kazuya Takeda (Intelligent Vehicles Symposium, 2015)

Automatic lane change extraction based on temporal patterns of symbolized driving behavioral data. - Masataka Mori; Kazuhito Takenaka; Takashi Bando; Tadahiro Taniguchi; Chiyomi Miyajima; Kazuya Takeda (Intelligent Vehicles Symposium, 2015)

Unsupervised Hierarchical Modeling of Driving Behavior and Prediction of Contextual Changing Points. - Tadahiro Taniguchi; Shogo Nagasaka; Kentarou Hitomi; Kazuhito Takenaka; Takashi Bando (IEEE Trans. Intell. Transp. Syst., 2015)

Reducing the negative effect of defective data on driving behavior segmentation via a deep sparse autoencoder. - Hailong Liu; Tadahiro Taniguchi; Kazuhito Takenaka; Yusuke Tanaka 003; Takashi Bando (GCCE, 2016)

Driving word2vec: Distributed semantic vector representation for symbolized naturalistic driving data. - Yusuke Fuchida; Tadahiro Taniguchi; Toshiaki Takano; Takuma Mori; Kazuhito Takenaka; Takashi Bando (Intelligent Vehicles Symposium, 2016)

Determining Utterance Timing of a Driving Agent With Double Articulation Analyzer. - Tadahiro Taniguchi; Kai Furusawa; Hailong Liu; Yusuke Tanaka 003; Kazuhito Takenaka; Takashi Bando (IEEE Trans. Intell. Transp. Syst., 2016)

Modeling and Prediction of Driving Behaviors Using a Nonparametric Bayesian Method With AR Models. - Ryunosuke Hamada; Takatomi Kubo; Kazushi Ikeda; Zujie Zhang; Tomohiro Shibata; Takashi Bando; Kentarou Hitomi; Masumi Egawa (IEEE Trans. Intell. Veh., 2016)

Sequence Prediction of Driving Behavior Using Double Articulation Analyzer. - Tadahiro Taniguchi; Shogo Nagasaka; Kentarou Hitomi; Naiwala P. Chandrasiri; Takashi Bando; Kazuhito Takenaka (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Prediction of driving behavior based on sequence to sequence model with parametric bias. - Hideaki Misawa; Kazuhito Takenaka; Tomoya Sugihara; Hailong Liu; Tadahiro Taniguchi; Takashi Bando (ITSC, 2017)

Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning. - Hailong Liu; Tadahiro Taniguchi; Yusuke Tanaka 003; Kazuhito Takenaka; Takashi Bando (IEEE Trans. Intell. Transp. Syst., 2017)

Latency Modeling for Mobile Edge Computing Using LTE Measurements. - Haris Volos 002; Takashi Bando; Kenji Konishi (VTC Fall, 2018)

Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder. - Hailong Liu; Tadahiro Taniguchi; Kazuhito Takenaka; Takashi Bando (Sensors, 2018)

A Predictive Reward Function for Human-Like Driving Based on a Transition Model of Surrounding Environment. - Daiki Hayashi; Yunfei Xu; Takashi Bando; Kazuya Takeda (ICRA, 2019)

ReLaDec: Reliable Latency Decision Algorithm for Connected Vehicle Applications. - Haris Volos 002; Takashi Bando; Kenji Konishi (IV, 2019)

Driving in the Fog: Latency Measurement, Modeling, and Optimization of LTE-based Fog Computing for Smart Vehicles. - Yong Xiao 001; Marwan Krunz; Haris Volos 002; Takashi Bando (SECON, 2019)

Evaluating Mental State of Drivers in Automated Driving Using Heart Rate Variability towards Feasible Request-to-Intervene. - 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 (SMC, 2020)

Ontology-Based Driving Simulation for Traffic Lights Optimization. - Amirhossein Zaji; Zheng Liu 002; Takashi Bando; Lihua Zhao (ACM Trans. Intell. Syst. Technol., 2023)