Takashi Bando

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 19

Top Topics

Driving Behavior

Heart Rate Variability

Reward Function

Top Venues

Intelligent Vehicles Symposium

IEEE Trans. Intell. Transp. Syst.

IEEE Trans. Intell. Veh.

Publications

Amirhossein Zaji, Zheng Liu, Takashi Bando, Lihua Zhao
Ontology-Based Driving Simulation for Traffic Lights Optimization. ACM Trans. Intell. Syst. Technol. 14 (3) (2023)
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)
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)
Haris Volos, Takashi Bando, Kenji Konishi
ReLaDec: Reliable Latency Decision Algorithm for Connected Vehicle Applications. IV (2019)
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)
Hailong Liu, Tadahiro Taniguchi, Kazuhito Takenaka, Takashi Bando
Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder. Sensors 18 (2) (2018)
Haris Volos, Takashi Bando, Kenji Konishi
Latency Modeling for Mobile Edge Computing Using LTE Measurements. VTC Fall (2018)
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)
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) (2017)
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) (2016)
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) (2016)
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) (2016)
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)
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)
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) (2015)
Kazuhito Takenaka, Takashi Bando, Tadahiro Taniguchi
Automatic generation of summarized driving video with music and captions. IECON (2015)
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)
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)
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)
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)
Hailong Liu, Tadahiro Taniguchi, Toshiaki Takano, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando
Visualization of driving behavior using deep sparse autoencoder. Intelligent Vehicles Symposium (2014)
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)
Takashi Bando, Kazuhito Takenaka, Shogo Nagasaka, Tadahiro Taniguchi
Generating contextual description from driving behavioral data. Intelligent Vehicles Symposium (2014)
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)
Takashi Bando, Kazuhito Takenaka, Shogo Nagasaka, Tadahiro Taniguchi
Automatic drive annotation via multimodal latent topic model. IROS (2013)
Takashi Bando, Kazuhito Takenaka, Shogo Nagasaka, Tadahiro Taniguchi
Unsupervised drive topic finding from driving behavioral data. Intelligent Vehicles Symposium (2013)
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)
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)
Kazuhito Takenaka, Takashi Bando, Shogo Nagasaka, Tadahiro Taniguchi, Kentarou Hitomi
Contextual scene segmentation of driving behavior based on double articulation analyzer. IROS (2012)
Takashi Bando, Tomohiro Shibata
Networked driving simulator based on SIGVerse and lane-change analysis according to frequency of driving. ITSC (2012)
Kazuhito Takenaka, Takashi Bando, Shogo Nagasaka, Tadahiro Taniguchi
Drive video summarization based on double articulation structure of driving behavior. ACM Multimedia (2012)
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)
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)
Shogo Nagasaka, Tadahiro Taniguchi, Genki Yamashita, Kentarou Hitomi, Takashi Bando
Finding meaningful robust chunks from driving behavior based on double articulation analyzer. SII (2012)
Takashi Bando, Takayuki Miyahara, Yukimasa Tamatsu
Traffic interactions: Estimate driving behavior's influence. Intelligent Vehicles Symposium (2011)
Hiroki Mima, Kazushi Ikeda, Tomohiro Shibata, Naoki Fukaya, Kentarou Hitomi, Takashi Bando
Estimation of Driving Phase by Modeling Brake Pressure Signals. ICONIP (1) (2009)
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)
Tomohiro Shibata, Takashi Bando, Shin Ishii
Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions. ICONIP (1) (2007)
Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii
Switching particle filters for efficient visual tracking. Robotics Auton. Syst. 54 (10) (2006)
Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii
Switching Particle Filters for Efficient Real-time Visual Tracking. ICPR (2) (2004)