| Hybrid-learning-based classification and quantitative inference of driver braking intensity of an electrified vehicle C Lv, Y Xing, C Lu, Y Liu, H Guo, H Gao, D Cao IEEE Transactions on vehicular technology 67 (7), 5718-5729, 2018 | 120 | 2018 |
| Energy oriented driving behavior analysis and personalized prediction of vehicle states with joint time series modeling Y Xing, C Lv, D Cao, C Lu Applied Energy 261, 114471, 2020 | 65 | 2020 |
| Transfer learning for driver model adaptation in lane-changing scenarios using manifold alignment C Lu, F Hu, D Cao, J Gong, Y Xing, Z Li IEEE transactions on intelligent transportation systems 21 (8), 3281-3293, 2019 | 56 | 2019 |
| Learning driver-specific behavior for overtaking: A combined learning framework C Lu, H Wang, C Lv, J Gong, J Xi, D Cao IEEE Transactions on Vehicular Technology 67 (8), 6788-6802, 2018 | 56 | 2018 |
| A hierarchical framework for interactive behaviour prediction of heterogeneous traffic participants based on graph neural network Z Li, C Lu, Y Yi, J Gong IEEE Transactions on Intelligent Transportation Systems 23 (7), 9102-9114, 2021 | 54 | 2021 |
| Interactive Behavior Prediction for Heterogeneous Traffic Participants in the Urban Road: A Graph-Neural-Network-Based Multitask Learning Framework Z Li, J Gong, C Lu, Y Yi IEEE/ASME Transactions on Mechatronics 26 (3), 1339-1349, 2021 | 50 | 2021 |
| A cooperative driving strategy based on velocity prediction for connected vehicles with robust path-following control Y Chen, C Lu, W Chu IEEE Internet of Things Journal 7 (5), 3822-3832, 2020 | 50 | 2020 |
| A learning model for personalized adaptive cruise control X Chen, Y Zhai, C Lu, J Gong, G Wang 2017 IEEE intelligent vehicles symposium (IV), 379-384, 2017 | 43 | 2017 |
| Virtual-to-real knowledge transfer for driving behavior recognition: Framework and a case study C Lu, F Hu, D Cao, J Gong, Y Xing, Z Li IEEE Transactions on Vehicular Technology 68 (7), 6391-6402, 2019 | 40 | 2019 |
| Importance weighted gaussian process regression for transferable driver behaviour learning in the lane change scenario Z Li, J Gong, C Lu, J Xi IEEE Transactions on Vehicular Technology 69 (11), 12497-12509, 2020 | 35 | 2020 |
| A personalized behavior learning system for human-like longitudinal speed control of autonomous vehicles C Lu, J Gong, C Lv, X Chen, D Cao, Y Chen Sensors 19 (17), 3672, 2019 | 35 | 2019 |
| Coordinated ramp metering with equity consideration using reinforcement learning C Lu, J Huang, L Deng, J Gong Journal of Transportation Engineering, Part A: Systems 143 (7), 04017028, 2017 | 33 | 2017 |
| Development and evaluation of two learning-based personalized driver models for pure pursuit path-tracking behaviors Z Li, B Wang, J Gong, T Gao, C Lu, G Wang 2018 IEEE Intelligent Vehicles Symposium (IV), 79-84, 2018 | 31 | 2018 |
| Early recognition of driving intention for lane change based on recurrent hidden semi-Markov model Q Liu, S Xu, C Lu, H Yao, H Chen IEEE transactions on vehicular technology 69 (10), 10545-10557, 2020 | 29 | 2020 |
| Transferable driver behavior learning via distribution adaption in the lane change scenario Z Li, C Gong, C Lu, J Gong, J Lu, Y Xu, F Hu 2019 IEEE Intelligent Vehicles Symposium (IV), 193-200, 2019 | 27 | 2019 |
| Integrated path planning for unmanned differential steering vehicles in off-road environment with 3D terrains and obstacles J Hu, Y Hu, C Lu, J Gong, H Chen IEEE Transactions on Intelligent Transportation Systems 23 (6), 5562-5572, 2021 | 24 | 2021 |
| Decision-making model of overtaking behavior for automated driving on freeways J Gong, Y Xu, C Lu, G Xiong 2016 IEEE International Conference on Vehicular Electronics and Safety …, 2016 | 23 | 2016 |
| An integrated approach for dynamic traffic routing and ramp metering using sliding mode control H Majid, C Lu, H Karim Journal of Traffic and Transportation Engineering (English Edition) 5 (2 …, 2018 | 21 | 2018 |
| Personalized driver braking behavior modeling in the car-following scenario: An importance-weight-based transfer learning approach Z Li, J Gong, C Lu, J Li IEEE Transactions on Industrial Electronics 69 (10), 10704-10714, 2022 | 19 | 2022 |
| A comparative study on transferable driver behavior learning methods in the lane-changing scenario C Gong, Z Li, C Lu, J Gong, F Hu 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3999-4005, 2019 | 19 | 2019 |
Zirui LiPh.D Candidate in Beijing Institute of Technology and Visiting Researcher in TU DresdenVerified email at bit.edu.cn
