Multi-sensor fusion is for enhancing environment perception and 3D reconstruction in self-
driving and robot navigation. Calibration between sensors is the precondition of effective …

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 …

Fusion of laser range finder (LRF) and camera is widely used in the field of intelligent mobile
robots for performing various tasks, such as autonomous navigation, 2D or 3D mapping …

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 …

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 …

Self-driving vehicles (SDVs) require accurate calibration of LiDARs and cameras to fuse
sensor data accurately for autonomy. Traditional calibration methods typically leverage …

We propose a robust calibration pipeline that optimises the selection of calibration samples
for the estimation of calibration parameters that fit the entire scene. We minimise user error …

We present the DLR Planetary Stereo, Solid-State LiDAR, Inertial (S3LI) dataset, recorded
on Mt. Etna, Sicily, an environment analogous to the Moon and Mars, using a hand-held …

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 …

As an essential procedure of data fusion, LiDAR-camera calibration is critical for
autonomous vehicles and robot navigation. Most calibration methods require laborious …