Seuraa
Takashi Bando, 坂東誉司
Takashi Bando, 坂東誉司
Mechanical Intuition, Inc.
Vahvistettu sähköpostiosoite verkkotunnuksessa m-intuition.com
Nimike
Viittaukset
Viittaukset
Vuosi
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
1402017
Driving context generation system for generating driving behavior description information
T Bando, K Takenaka, T Taniguchi
US Patent 9,527,384, 2016
1072016
Semiotic prediction of driving behavior using unsupervised double articulation analyzer
T Taniguchi, S Nagasaka, K Hitomi, NP Chandrasiri, T Bando
2012 IEEE Intelligent Vehicles Symposium, 849-854, 2012
682012
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
512015
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
452014
Development of pedestrian behavior model taking account of intention
Y Tamura, P Dai Le, K Hitomi, NP Chandrasiri, T Bando, A Yamashita, ...
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
452012
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
442012
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
432014
Modeling and prediction of driving behaviors using a nonparametric bayesian method with ar models
R Hamada, T Kubo, K Ikeda, Z Zhang, T Shibata, T Bando, K Hitomi, ...
IEEE Transactions on Intelligent Vehicles 1 (2), 131-138, 2016
332016
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
Switching particle filters for efficient visual tracking
T Bando, T Shibata, K Doya, S Ishii
Robotics and Autonomous Systems 54 (10), 873-884, 2006
282006
Estimation device
N Fukaya, M Shimizu, S Ishii, T Shibata, T Bando
US Patent 7,813,544, 2010
242010
Inference-aware motion planning
Y Xu, T Bando
US Patent 10,074,279, 2018
232018
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
Image recognition apparatus utilizing plurality of weak classifiers for evaluating successive sub-images extracted from an input image
N Fukaya, T Bando
US Patent 8,165,408, 2012
212012
Analyzing driver gaze behavior and consistency of decision making during automated driving
C Miyajima, S Yamazaki, T Bando, K Hitomi, H Terai, H Okuda, ...
2015 IEEE Intelligent Vehicles Symposium (IV), 1293-1298, 2015
202015
Trichothecene-resistant transgenic plants
TM Hohn, C Peters, J Salmeron
US Patent 6,646,184, 2003
202003
Driving in the fog: Latency measurement, modeling, and optimization of lte-based fog computing for smart vehicles
Y Xiao, M Krunz, H Volos, T Bando
2019 16th Annual IEEE International Conference on Sensing, Communication …, 2019
172019
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