| The effect of a haptic guidance steering system on fatigue-related driver behavior Z Wang, R Zheng, T Kaizuka, K Shimono, K Nakano IEEE Transactions on Human-Machine Systems 47 (5), 741-748, 2017 | 70 | 2017 |
| Relationship between gaze behavior and steering performance for driver–automation shared control: A driving simulator study Z Wang, R Zheng, T Kaizuka, K Nakano IEEE Transactions on Intelligent Vehicles 4 (1), 154-166, 2018 | 51 | 2018 |
| Time to lane change and completion prediction based on gated recurrent unit network Z Yan, K Yang, Z Wang, B Yang, T Kaizuka, K Nakano 2019 IEEE Intelligent Vehicles Symposium (IV), 102-107, 2019 | 45 | 2019 |
| Intention-based lane changing and lane keeping haptic guidance steering system Z Yan, K Yang, Z Wang, B Yang, T Kaizuka, K Nakano IEEE Transactions on Intelligent Vehicles 6 (4), 622-633, 2020 | 40 | 2020 |
| Convolutional neural network-based lane-change strategy via motion image representation for automated and connected vehicles S Cheng, Z Wang, B Yang, K Nakano IEEE Transactions on Neural Networks and Learning Systems, 2023 | 21 | 2023 |
| Application of physiological sensors for personalization in semi-autonomous driving: A review EJC Nacpil, Z Wang, K Nakano IEEE Sensors Journal 21 (18), 19662-19674, 2021 | 21 | 2021 |
| Driver-automation shared control: Modeling driver behavior by taking account of reliance on haptic guidance steering Z Wang, R Zheng, T Kaizuka, K Nakano 2018 IEEE Intelligent Vehicles Symposium (IV), 144-149, 2018 | 20 | 2018 |
| Quantitative evaluation methodology for chassis-domain dynamics performance of automated vehicles S Cheng, Z Wang, B Yang, L Li, K Nakano IEEE Transactions on Cybernetics 53 (9), 5938-5948, 2022 | 14 | 2022 |
| Structural transformer improves speed-accuracy trade-off in interactive trajectory prediction of multiple surrounding vehicles L Hou, SE Li, B Yang, Z Wang, K Nakano IEEE Transactions on Intelligent Transportation Systems 23 (12), 24778-24790, 2022 | 14 | 2022 |
| Comfort-oriented haptic guidance steering via deep reinforcement learning for individualized lane keeping assist Z Wang, Z Yan, K Nakano 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 14 | 2019 |
| Influence of haptic guidance on driving behaviour under degraded visual feedback conditions Z Wang, R Zheng, T Kaizuka, K Nakano IET Intelligent Transport Systems 12 (6), 454-462, 2018 | 14 | 2018 |
| Adaptive driver-automation shared steering control via forearm surface electromyography measurement Z Wang, S Suga, EJC Nacpil, Z Yan, K Nakano IEEE Sensors Journal 21 (4), 5444-5453, 2020 | 13 | 2020 |
| Design and evaluation of a surface electromyography-controlled steering assistance interface EJC Nacpil, Z Wang, R Zheng, T Kaizuka, K Nakano Sensors 19 (6), 1308, 2019 | 12 | 2019 |
| The effect of haptic guidance on driver steering performance during curve negotiation with limited visual feedback Z Wang, R Zheng, T Kaizuka, K Nakano 2017 IEEE Intelligent Vehicles Symposium (IV), 600-605, 2017 | 12 | 2017 |
| Classification of automated lane-change styles by modeling and analyzing truck driver behavior: A driving simulator study Z Wang, M Guan, J Lan, B Yang, T Kaizuka, J Taki, K Nakano IEEE Open Journal of Intelligent Transportation Systems 3, 772-785, 2022 | 11* | 2022 |
| Integrated graphical representation of highway scenarios to improve trajectory prediction of surrounding vehicles L Hou, SE Li, B Yang, Z Wang, K Nakano IEEE Transactions on Intelligent Vehicles 8 (2), 1638-1651, 2022 | 10 | 2022 |
| Longitudinal control strategy of collision avoidance warning system for intelligent vehicle considering drivers and environmental factors Y Zhao, X Xiang, R Zhang, L Guo, Z Wang 2018 IEEE Intelligent Vehicles Symposium (IV), 31-36, 2018 | 10 | 2018 |
| Spatio-temporal image representation and deep-learning-based decision framework for automated vehicles S Cheng, B Yang, Z Wang, K Nakano IEEE Transactions on Intelligent Transportation Systems 23 (12), 24866-24875, 2022 | 9 | 2022 |
| Modeling and analysis of driver behaviour under shared control through weighted visual and haptic guidance Z Wang, R Zheng, EJC Nacpil, K Nakano IET Intelligent Transport Systems 16 (5), 648-660, 2022 | 9 | 2022 |
| An adaptive model predictive approach for automated vehicle control in fallback procedure based on virtual vehicle scheme W Xue, R Zheng, B Yang, Z Wang, T Kaizuka, K Nakano Journal of intelligent and connected vehicles 2 (2), 67-77, 2019 | 9 | 2019 |
Kimihiko NakanoThe University of Tokyo在 iis.u-tokyo.ac.jp 的电子邮件经过验证
