| Driver drowsiness detection based on time series analysis of steering wheel angular velocity G Zhenhai, L DinhDat, H Hongyu, Y Ziwen, W Xinyu 2017 9th International Conference on Measuring Technology and Mechatronics …, 2017 | 70 | 2017 |
| An improved artificial potential field model considering vehicle velocity for autonomous driving HU Hongyu, Z Chi, S Yuhuan, Z Bin, G Fei IFAC-PapersOnLine 51 (31), 863-867, 2018 | 67 | 2018 |
| Design and experimental evaluation of an efficient MPC-based lateral motion controller considering path preview for autonomous vehicles G Chen, J Yao, H Hu, Z Gao, L He, X Zheng Control engineering practice 123, 105164, 2022 | 47 | 2022 |
| End-to-end automated lane-change maneuvering considering driving style using a deep deterministic policy gradient algorithm H Hu, Z Lu, Q Wang, C Zheng Sensors 20 (18), 5443, 2020 | 37 | 2020 |
| Effects of Bi composition on microstructure and Al-water reactivity of Al-rich alloys with low-In Q An, H Hu, N Li, D Liu, S Xu, Z Liu, C Wei, F Luo, M Xia, Q Gao International Journal of Hydrogen Energy 43 (24), 10887-10895, 2018 | 34 | 2018 |
| Multi-argument control mode switching strategy for adaptive cruise control system G Zhenhai, W Jun, H Hongyu, Y Wei, W Dazhi, W Lin Procedia engineering 137, 581-589, 2016 | 32 | 2016 |
| Cost-sensitive semi-supervised deep learning to assess driving risk by application of naturalistic vehicle trajectories H Hu, Q Wang, M Cheng, Z Gao Expert Systems with Applications 178, 115041, 2021 | 31 | 2021 |
| Holistic transformer: A joint neural network for trajectory prediction and decision-making of autonomous vehicles H Hu, Q Wang, Z Zhang, Z Li, Z Gao Pattern Recognition 141, 109592, 2023 | 28 | 2023 |
| Vehicle trajectory prediction considering aleatoric uncertainty H Hu, Q Wang, L Du, Z Lu, Z Gao Knowledge-Based Systems 255, 109617, 2022 | 28 | 2022 |
| A multi-task learning network with a collision-aware graph transformer for traffic-agents trajectory prediction B Yang, F Fan, R Ni, H Wang, A Jafaripournimchahi, H Hu IEEE Transactions on Intelligent Transportation Systems 25 (7), 6677-6690, 2024 | 24 | 2024 |
| Monocular 3-D vehicle detection using a cascade network for autonomous driving H Hu, T Zhao, Q Wang, F Gao, L He, Z Gao IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 24 | 2021 |
| Intelligent cockpit for intelligent connected vehicles: Definition, taxonomy, technology and evaluation W Li, D Cao, R Tan, T Shi, Z Gao, J Ma, G Guo, H Hu, J Feng, L Wang IEEE Transactions on Intelligent Vehicles 9 (2), 3140-3153, 2023 | 22 | 2023 |
| Study on the liquid phase-derived activation mechanism in Al-rich alloy hydrolysis reaction for hydrogen production Q An, Z Jin, N Li, H Wang, J Schmierer, C Wei, H Hu, Q Gao, JM Woodall Energy 247, 123489, 2022 | 22 | 2022 |
| Analysis on biosignal characteristics to evaluate road rage of younger drivers: A driving simulator study H Hu, Z Zhu, Z Gao, R Zheng 2018 IEEE intelligent vehicles symposium (IV), 156-161, 2018 | 22 | 2018 |
| Driver identification using 1D convolutional neural networks with vehicular CAN signals H Hu, J Liu, Z Gao, P Wang IET Intelligent Transport Systems 14 (13), 1799-1809, 2020 | 18 | 2020 |
| Experimal study of young male drivers’ responses to vehicle collision using EMG of lower extremity Z Gao, C Li, H Hu, H Zhao, C Chen, H Yu Bio-medical materials and engineering 26 (1_suppl), S563-S573, 2015 | 18 | 2015 |
| Capacity and delay estimation for roundabouts using conflict theory Z Qu, Y Duan, H Hu, X Song The Scientific World Journal 2014 (1), 710938, 2014 | 18 | 2014 |
| Trajectory prediction neural network and model interpretation based on temporal pattern attention H Hu, Q Wang, M Cheng, Z Gao IEEE Transactions on Intelligent Transportation Systems 24 (3), 2746-2759, 2022 | 17 | 2022 |
| Traffic density recognition based on image global texture feature H Hu, Z Gao, Y Sheng, C Zhang, R Zheng International Journal of Intelligent Transportation Systems Research 17, 171-180, 2019 | 17 | 2019 |
| Influencing factors of low-and high-temperature behavior of Co-doped Zn2SnO4–graphene–carbon nanocomposite as anode material for lithium-ion batteries Z Gao, X Zhang, H Hu, D Guo, H Zhao, H Yu Journal of Electroanalytical Chemistry 791, 56-63, 2017 | 17 | 2017 |
