The recent trend of fusing complementary data from LiDARs and cameras for more accurate
perception has made the extrinsic calibration between the two sensors critically important …

Rigorous boresight calibration between light detection and ranging (LiDAR) and the camera
is crucial for geometry and optical information fusion in Earth observation and robotic …

Due to the difference of data modalities, it'sa very challenging task to find the feature
correspondences between 2D and 3D data in LiDAR-Camera calibration. In existing works …

This paper presents an open source LiDAR-camera calibration toolbox that is general to
LiDAR and cam-era projection models, requires only one pairing of LiDAR and camera data …

Cameras and LiDARs are currently two types of sensors commonly used for 3D mapping.
Vision-based methods are susceptible to textureless regions and lighting, and LiDAR-based …

Non-repetitive scanning Light Detection And Ranging (LiDAR)-Camera systems are
commonly used in autonomous navigation industries, benefiting from their low-cost and high …

Motivated by the increasing application of low-resolution LiDAR, we target the problem of
low-resolution LiDAR-camera calibration in this work. The main challenges are two-fold …

With the rapid development of autonomous driving, robotics, and intelligent transportation,
multi-sensor-based environment sensing technology for intelligent vehicles has become a …

In the typical urban intersection scenario, both vehicles and infrastructures are equipped
with visual and LiDAR sensors. By successfully integrating the data from vehicle-side and …

Prior point cloud provides 3D environmental context, which enhances the capabilities of
monocular camera in downstream vision tasks, such as 3D object detection, via data fusion …