| 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 | 170 | 2017 |
| Driving context generation system for generating driving behavior description information T Bando, K Takenaka, T Taniguchi US Patent 9,527,384, 2016 | 168 | 2016 |
| 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 | 71 | 2012 |
| 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 | 56 | 2015 |
| 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 | 56 | 2013 |
| 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 | 54 | 2012 |
| 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 | 51 | 2016 |
| 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 | 49 | 2014 |
| 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 | 47 | 2014 |
| 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 | 47 | 2012 |
| 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 | 36 | 2012 |
| Inference-aware motion planning Y Xu, T Bando US Patent 10,074,279, 2018 | 33 | 2018 |
| 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 | 31 | 2015 |
| Switching particle filters for efficient visual tracking T Bando, T Shibata, K Doya, S Ishii Robotics and Autonomous Systems 54 (10), 873-884, 2006 | 29 | 2006 |
| 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 | 27 | 2019 |
| Estimation device N Fukaya, M Shimizu, S Ishii, T Shibata, T Bando US Patent 7,813,544, 2010 | 24 | 2010 |
| 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 | 23 | 2013 |
| 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 | 22 | 2012 |
| Trichothecene-resistant transgenic plants TM Hohn, C Peters, J Salmeron US Patent 6,646,184, 2003 | 21 | 2003 |
| 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 | 20 | 2015 |
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