An Effective Method for Self-driving Car Navigation based on Lidar. - Meng Liu 013; Yu Liu 031; Jianwei Niu 002; Yu Du; Yanchen Wan (CollaborateCom, 2017)

An autopilot system based on ROS distributed architecture and deep learning. - Meng Liu 013; Jianwei Niu 002; Xin Wang (INDIN, 2017)

Challenges and countermeasures of interaction in autonomous vehicles. - Deyi Li; Meng Liu 013; Fei Zhao 006; Yu Liu 031 (Sci. China Inf. Sci., 2019)

BEV-Net: A Bird's Eye View Object Detection Network for LiDAR Point Cloud. - Meng Liu 013; Jianwei Niu 002 (IROS, 2021)

ReinforcementDriving: Exploring Trajectories and Navigation for Autonomous Vehicles. - Meng Liu 013; Fei Zhao 006; Jianwei Niu 002; Yu Liu 031 (IEEE Trans. Intell. Transp. Syst., 2021)

VS-Net: A Voxel Encoding and Sparse Convolution Embedded Network for LiDAR 3D Object Detection. - Meng Liu 013; Jianwei Niu 002; Yu Liu 031 (ROBIO, 2022)

Reinforcement-Tracking: An Effective Trajectory Tracking and Navigation Method for Autonomous Urban Driving. - Meng Liu 013; Fei Zhao 006; Jialun Yin; Jianwei Niu 002; Yu Liu 031 (IEEE Trans. Intell. Transp. Syst., 2022)

SP-Net: A Sparse Convolution and Point-Encoding Enhanced Network for 3D Object Detection in LiDAR Point Clouds. - Meng Liu 013; Jianwei Niu 002; Yu Liu 031 (RCAR, 2023)

UKF-MOT: An unscented Kalman filter-based 3D multi-object tracker. - Meng Liu 013; Jianwei Niu 002; Yu Liu 031 (CAAI Trans. Intell. Technol., 2024)