| 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 | 84 | 2017 |
| 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 | 46 | 2013 |
| Driving context generation system for generating driving behavior description information T Bando, K Takenaka, T Taniguchi US Patent 9,527,384, 2016 | 41 | 2016 |
| 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 | 39 | 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 | 34 | 2015 |
| 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 | 33 | 2014 |
| 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 | 32 | 2014 |
| 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 | 29 | 2012 |
| 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 | 25 | 2015 |
| 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 | 19 | 2013 |
| 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 | 12 | 2015 |
| 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 | 10 | 2015 |
| Generating contextual description from driving behavioral data T Bando, K Takenaka, S Nagasaka, T Taniguchi 2014 IEEE Intelligent Vehicles Symposium Proceedings, 183-189, 2014 | 10 | 2014 |
| Road condition monitoring system K Takenaka, K Muto, M Egawa, S Furuta US Patent 10,347,122, 2019 | 9 | 2019 |
| 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 | 8 | 2017 |
| 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 | 8 | 2014 |
| Object identification device K Takenaka, T Bando, HT NIKNEJAD, M Egawa US Patent 9,367,735, 2016 | 5 | 2016 |
| 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 | 5 | 2016 |
| 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 | 4 | 2018 |
| 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 | 4 | 2017 |
