Kazuhito Takenaka
Kazuhito Takenaka
DENSO CORPORATION
Verified email at jp.denso.com
Title
Cited by
Cited by
Year
Visualization of driving behavior based on hidden feature extraction by using deep learning
HL Liu, T Taniguchi, Y Tanaka, K Takenaka, T Bando
IEEE Transactions on Intelligent Transportation Systems 18 (9), 2477-2489, 2017
842017
Unsupervised drive topic finding from driving behavioral data
T Bando, K Takenaka, S Nagasaka, T Taniguchi
2013 IEEE Intelligent Vehicles Symposium (IV), 177-182, 2013
462013
Driving context generation system for generating driving behavior description information
T Bando, K Takenaka, T Taniguchi
US Patent 9,527,384, 2016
412016
Contextual scene segmentation of driving behavior based on double articulation analyzer
K Takenaka, T Bando, S Nagasaka, T Taniguchi, K Hitomi
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
392012
Sequence prediction of driving behavior using double articulation analyzer
T Taniguchi, S Nagasaka, K Hitomi, NP Chandrasiri, T Bando, ...
IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (9), 1300-1313, 2015
342015
Visualization of driving behavior using deep sparse autoencoder
HL Liu, T Taniguchi, T Takano, Y Tanaka, K Takenaka, T Bando
2014 IEEE Intelligent Vehicles Symposium Proceedings, 1427-1434, 2014
332014
Unsupervised hierarchical modeling of driving behavior and prediction of contextual changing points
T Taniguchi, S Nagasaka, K Hitomi, K Takenaka, T Bando
IEEE Transactions on Intelligent Transportation Systems 16 (4), 1746-1760, 2014
322014
Drive video summarization based on double articulation structure of driving behavior
K Takenaka, T Bando, S Nagasaka, T Taniguchi
Proceedings of the 20th ACM international conference on Multimedia, 1169-1172, 2012
292012
Essential feature extraction of driving behavior using a deep learning method
HL Liu, T Taniguchi, Y Tanaka, K Takenaka, T Bando
2015 IEEE Intelligent Vehicles Symposium (IV), 1054-1060, 2015
252015
Automatic drive annotation via multimodal latent topic model
T Bando, K Takenaka, S Nagasaka, T Taniguchi
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
192013
Determining utterance timing of a driving agent with double articulation analyzer
T Taniguchi, K Furusawa, H Liu, Y Tanaka, K Takenaka, T Bando
IEEE Transactions on Intelligent Transportation Systems 17 (3), 810-821, 2015
122015
Automatic lane change extraction based on temporal patterns of symbolized driving behavioral data
M Mori, K Takenaka, T Bando, T Taniguchi, C Miyajima, K Takeda
2015 IEEE Intelligent Vehicles Symposium (IV), 976-981, 2015
102015
Generating contextual description from driving behavioral data
T Bando, K Takenaka, S Nagasaka, T Taniguchi
2014 IEEE Intelligent Vehicles Symposium Proceedings, 183-189, 2014
102014
Road condition monitoring system
K Takenaka, K Muto, M Egawa, S Furuta
US Patent 10,347,122, 2019
92019
Fast inverse reinforcement learning with interval consistent graph for driving behavior prediction
M Shimosaka, J Sato, K Takenaka, K Hitomi
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
82017
Prediction of next contextual changing point of driving behavior using unsupervised bayesian double articulation analyzer
S Nagasaka, T Taniguchi, K Hitomi, K Takenaka, T Bando
2014 IEEE Intelligent Vehicles Symposium Proceedings, 924-931, 2014
82014
Object identification device
K Takenaka, T Bando, HT NIKNEJAD, M Egawa
US Patent 9,367,735, 2016
52016
Drive video recording device and method, drive video recording system, and summarized moving image creating device
K Takenaka, T Bando, T Miyahara
US Patent 9,350,952, 2016
52016
Defect-repairable latent feature extraction of driving behavior via a deep sparse autoencoder
H Liu, T Taniguchi, K Takenaka, T Bando
Sensors 18 (2), 608, 2018
42018
Prediction of driving behavior based on sequence to sequence model with parametric bias
H Misawa, K Takenaka, T Sugihara, H Liu, T Taniguchi, T Bando
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
42017
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