Precise and robust extrinsic parameter calibration is fundamental for LiDAR-camera multi-
modal sensing applications. However, most existing methods assume that sensors have the …

Extrinsic calibration between LiDAR and camera has become an indispensable task across
diverse domains, including autonomous vehicles, robotics, and surveillance systems …

Extrinsic calibration between lidar and camera sensors is needed for multi-modal sensor
data fusion. However, obtaining precise extrinsic calibration can be tedious, computationally …

This paper investigates a novel calibration process of devices with different modalities,
which is a critical step of computer vision applications. We propose a fully automatic extrinsic …

Multi-LiDAR system is an important part of V2X (Vehicle to Everything) to enhance the
perception information for unmanned vehicles. To fuse the information from multiple 3D …

Calibrating the extrinsic matrices between sensors is a significant pre-processing step of
sensor fusion. Most of existing calibration methods use point-based rigid registration …

Extrinsic calibration of imaging systems containing multi-sensors have enabled
unprecedented capabilities in data fusion in the fields of computer vision and robotics …

Nowadays, portable cameras and LiDARs are widely applied in robotic applications for
environment perception, path planning, and high precision navigation. In such cases …

The fusion of camera and lidar plays an important role in the field of robotic perception. The
accurate external parameter calibration is a necessary prerequisite for sensor fusion …

With the extensive research and application of various unmanned systems, for instance,
unmanned aerial vehicle and self-driving cars, people are increasingly aware of the …