Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges Z Li, C Gong, Y Lin, G Li, X Wang, C Lu, M Wang, S Chen, J Gong Green Energy and Intelligent Transportation, 100103, 2023 | 11 | 2023 |
Continual interactive behavior learning with traffic divergence measurement: A dynamic gradient scenario memory approach Y Lin, Z Li, C Gong, C Lu, X Wang, J Gong IEEE Transactions on Intelligent Transportation Systems, 2023 | 5 | 2023 |
An ensemble learning framework for vehicle trajectory prediction in interactive scenarios Z Li, Y Lin, C Gong, X Wang, Q Liu, J Gong, C Lu 2022 IEEE Intelligent Vehicles Symposium (IV), 51-57, 2022 | 5 | 2022 |
智能车辆规划与控制策略学习方法综述 龚建伟, 龚乘, 林云龙, 李子睿, 吕超 北京理工大学学报自然版 42 (7), 665-674, 2022 | 1 | 2022 |
A Learning-Based Controller for Trajectory Tracking of Autonomous Vehicles in Complex and Uncertain Scenarios C Gong, R Qiu, Y Lin, Z Li, J Gong, C Lu 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
Rethinking Trajectory Prediction in Real-World Applications: An Online Task-Free Continual Learning Perspective Y Lin, Z Li, C Gong, Q Liu, C Lu, J Gong 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |