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 | 20 | 2022 |
Manifold learning for lane-changing behavior recognition in urban traffic J Li, C Lu, Y Xu, Z Zhang, J Gong, H Di 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3663-3668, 2019 | 12 | 2019 |
Dido: Deep inertial quadrotor dynamical odometry K Zhang, C Jiang, J Li, S Yang, T Ma, C Xu, F Gao IEEE Robotics and Automation Letters 7 (4), 9083-9090, 2022 | 11 | 2022 |
Driver-specific risk recognition in interactive driving scenarios using graph representation J Li, C Lu, P Li, Z Zhang, C Gong, J Gong IEEE Transactions on Vehicular Technology 72 (4), 4453-4465, 2022 | 6 | 2022 |
Driver behavior modelling at the urban intersection via canonical correlation analysis Z Li, C Lu, C Gong, J Gong, J Li, L Wei 2020 3rd International Conference on Unmanned Systems (ICUS), 564-569, 2020 | 6 | 2020 |
数据驱动的智能车个性化场景风险图构建 崔格格, 吕超, 李景行, 张哲雨, 熊光明, 龚建伟 汽车工程 45 (2), 231-242, 2023 | 3 | 2023 |
Prediction of Pedestrian Risky Level for Intelligent Vehicles Z Zhang, C Lu, J Li, Y Xu, J Lu, Z Li 2020 IEEE Intelligent Vehicles Symposium (IV), 169-174, 2020 | 3 | 2020 |
基于车辆视角数据的行人轨迹预测与风险等级评定 张哲雨, 吕超, 李景行, 熊光明, 吴绍斌, 龚建伟 汽车工程 44 (5), 675-683, 2022 | | 2022 |