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Kazuhito Takenaka
Kazuhito Takenaka
DENSO CORPORATION
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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
1322017
Driving context generation system for generating driving behavior description information
T Bando, K Takenaka, T Taniguchi
US Patent 9,527,384, 2016
942016
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
542013
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
502015
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
442014
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
432012
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
412014
Road condition monitoring system
K Takenaka, K Muto, M Egawa, S Furuta
US Patent 10,347,122, 2019
352019
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
312012
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
302015
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
222013
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
142015
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
142015
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
132017
Generating contextual description from driving behavioral data
T Bando, K Takenaka, S Nagasaka, T Taniguchi
2014 IEEE Intelligent Vehicles Symposium Proceedings, 183-189, 2014
112014
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
102014
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
82018
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
82017
運転時系列のベイズ二重分節解析によるチャンク抽出
谷口忠大, 山下元気, 長坂翔吾, 坂東誉司, 竹中一仁, 人見謙太郎
計測自動制御学会論文集 49 (11), 1047-1056, 2013
72013
Object identification device
K Takenaka, T Bando, HT NIKNEJAD, M Egawa
US Patent 9,367,735, 2016
62016
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