An unsupervised learning network for large-scale LiDAR point clouds registration

J Liu, X Lv, X Gong, Y Liang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the continuous development of autonomous driving technologies, the registration of
outdoor large-scale LiDAR point clouds has become increasingly important. Unlike indoor …

Dynamic Object-aware LiDAR Odometry Aided by Joint Weightings Estimation in Urban Areas

F Huang, W Wen, J Zhang, C Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Dynamic object detection from point clouds has been widely studied in recent years to
achieve accurate and robust LiDAR odometry for autonomous driving. Satisfactory accuracy …

LiDAR-based NDT matching performance evaluation for positioning in adverse weather conditions

J Chang, R Hu, F Huang, D Xu, LT Hsu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Light detection and ranging (LiDAR) can provide continuous and stable pose estimation with
the model of normal distribution transform (NDT), which is widely used in autonomous …

Roadside infrastructure assisted LiDAR/inertial-based map** for intelligent vehicles in urban areas

F Huang, H Chen, A Urtay, D Su… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
Vehicle-infrastructure cooperation is an emerging technology towards fully autonomous
driving. LiDAR/Inertial odometry (LIO) based on onboard sensors can provide precise state …

3D LiDAR aided GNSS NLOS mitigation for reliable GNSS-RTK positioning in urban canyons

X Liu, W Wen, F Huang, H Gao, Y Wang… - ar** Based on Three-Dimensional Moving Object Tracking in Dynamic Scene
T Gao, H Ran, H Chi, D Wei - Available at SSRN 5033168 - papers.ssrn.com
Moving objects can cause incorrect feature matches, significantly affecting light detection
and ranging (LiDAR) odometry accuracy and map** quality in simultaneous localization …