A system with light detection and ranging (LiDAR) and camera (named as LiDAR-camera
system) plays the essential role in intelligent vehicle (IV), for it provides 3D spatial and 2D …

There is no denying the fact that LiDAR-camera online calibration is an extremely complex
problem. For automatic driving technology development, a stable, accurate, and fast online …

Extrinsic parameter calibration is the foundation and prerequisite for LiDAR and camera
data fusion of the autonomous system. This technology is widely used in fields such as …

LiDAR-Camera alignment (LCA) is an important preprocessing procedure for fusing LiDAR
and camera data. For it, one key issue is to extract unified cross-modality representation for …

To realize accurate environment perception, which is the technological key to enabling
autonomous vehicles to interact with their external environments, it is primarily necessary to …

Extrinsic calibration on a LiDAR-camera system is an essential task for the advanced
perception application for the intelligent vehicle. In the offline situation, a calibration object …

Image and point cloud registration (2D-3D registration) is an essential prerequisite for multi-
modal feature fusion. However, due to the significant feature difference of point cloud and …

In this paper, a novel LiDAR-Camera Alignment (LCA) method using homogeneous local-
global spatial aware representation is proposed. Compared with the state-of-the-art methods …