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

LiDAR and cameras have been broadly utilized in computer vision and autonomous vehicle
applications. However, in order to convert data between the local coordinate systems, we …

Accurate LiDAR-camera extrinsic calibration is a precondition for many multi-sensor systems
in mobile robots. Most calibration methods rely on laborious manual operations and …

Accurate LiDAR-camera online calibration is critical for modern autonomous vehicles and
robot platforms. Dominant methods heavily rely on hand-crafted features, which are not …

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 …

With the rapid growth of self-driving vehicles, automobiles demand diverse data from
multiple sensors to perceive the surrounding environment. Calibrating preprocessing …

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 …

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 …

Sensor setups of robotic platforms commonly include both camera and LiDAR as they
provide complementary information. However, fusing these two modalities typically requires …

The working environment of autonomous driving and robot navigation is so complex and
dynamic that a single type of sensor is insufficient for performing object detection. Thus, in …