Takashi Bando

According to our database, Takashi Bando authored at least 40 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Ontology-Based Driving Simulation for Traffic Lights Optimization.

Amirhossein Zaji, Zheng Liu, Takashi Bando, Lihua Zhao

ACM Trans. Intell. Syst. Technol., 2023

2020

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

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019

Driving in the Fog: Latency Measurement, Modeling, and Optimization of LTE-based Fog Computing for Smart Vehicles.

Yong Xiao, Marwan Krunz, Haris Volos, Takashi Bando

Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

ReLaDec: Reliable Latency Decision Algorithm for Connected Vehicle Applications.

Haris Volos, Takashi Bando, Kenji Konishi

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

A Predictive Reward Function for Human-Like Driving Based on a Transition Model of Surrounding Environment.

Daiki Hayashi, Yunfei Xu, Takashi Bando, Kazuya Takeda

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder.

Hailong Liu, Tadahiro Taniguchi, Kazuhito Takenaka, Takashi Bando

Sensors, 2018

Latency Modeling for Mobile Edge Computing Using LTE Measurements.

Haris Volos, Takashi Bando, Kenji Konishi

Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

2017

Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning.

Hailong Liu, Tadahiro Taniguchi, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando

IEEE Trans. Intell. Transp. Syst., 2017

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

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

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

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

Determining Utterance Timing of a Driving Agent With Double Articulation Analyzer.

Tadahiro Taniguchi, Kai Furusawa, Hailong Liu, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando

IEEE Trans. Intell. Transp. Syst., 2016

Driving word2vec: Distributed semantic vector representation for symbolized naturalistic driving data.

Yusuke Fuchida, Tadahiro Taniguchi, Toshiaki Takano, Takuma Mori, Kazuhito Takenaka, Takashi Bando

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Reducing the negative effect of defective data on driving behavior segmentation via a deep sparse autoencoder.

Hailong Liu, Tadahiro Taniguchi, Kazuhito Takenaka, Yusuke Tanaka, Takashi Bando

Proceedings of the IEEE 5th Global Conference on Consumer Electronics, 2016

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

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

Proceedings of the 2015 IEEE 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, Kazuya Takeda

Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Essential feature extraction of driving behavior using a deep learning method.

Hailong Liu, Tadahiro Taniguchi, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando

Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Automatic generation of summarized driving video with music and captions.

Kazuhito Takenaka, Takashi Bando, Tadahiro Taniguchi

Proceedings of the IECON 2015, 2015

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

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Visualization of driving behavior using deep sparse autoencoder.

Hailong Liu, Tadahiro Taniguchi, Toshiaki Takano, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Generating contextual description from driving behavioral data.

Takashi Bando, Kazuhito Takenaka, Shogo Nagasaka, Tadahiro Taniguchi

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

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

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013

Unsupervised drive topic finding from driving behavioral data.

Takashi Bando, Kazuhito Takenaka, Shogo Nagasaka, Tadahiro Taniguchi

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Automatic drive annotation via multimodal latent topic model.

Takashi Bando, Kazuhito Takenaka, Shogo Nagasaka, Tadahiro Taniguchi

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the 21st European Signal Processing Conference, 2013

A comparative study of time series modeling for driving behavior towards prediction.

Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Takashi Bando, Masumi Egawa

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

2012

Finding meaningful robust chunks from driving behavior based on double articulation analyzer.

Shogo Nagasaka, Tadahiro Taniguchi, Genki Yamashita, Kentarou Hitomi, Takashi Bando

Proceedings of the IEEE/SICE International Symposium on System Integration, 2012

Drive video summarization based on double articulation structure of driving behavior.

Kazuhito Takenaka, Takashi Bando, Shogo Nagasaka, Tadahiro Taniguchi

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Semiotic prediction of driving behavior using unsupervised double articulation analyzer.

Tadahiro Taniguchi, Shogo Nagasaka, Kentarou Hitomi, Naiwala P. Chandrasiri, Takashi Bando

Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Networked driving simulator based on SIGVerse and lane-change analysis according to frequency of driving.

Takashi Bando, Tomohiro Shibata

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 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

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Contextual scene segmentation of driving behavior based on double articulation analyzer.

Kazuhito Takenaka, Takashi Bando, Shogo Nagasaka, Tadahiro Taniguchi, Kentarou Hitomi

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011

Traffic interactions: Estimate driving behavior's influence.

Takashi Bando, Takayuki Miyahara, Yukimasa Tamatsu

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

2009

Estimation of Driving Phase by Modeling Brake Pressure Signals.

Hiroki Mima, Kazushi Ikeda, Tomohiro Shibata, Naoki Fukaya, Kentarou Hitomi, Takashi Bando

Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008

Online Multibody Factorization Based on Bayesian Principal Component Analysis of Gaussian Mixture Models.

Kentarou Hitomi, Takashi Bando, Naoki Fukaya, Kazushi Ikeda, Tomohiro Shibata

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007

Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions.

Tomohiro Shibata, Takashi Bando, Shin Ishii

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006

Switching particle filters for efficient visual tracking.

Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii

Robotics Auton. Syst., 2006

2004

Switching Particle Filters for Efficient Real-time Visual Tracking.

Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii

Proceedings of the 17th International Conference on Pattern Recognition, 2004