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 …

For applications in robotics and autonomous vehicles, fusing 3D LiDAR, RGB camera, and
thermal camera can improve the perception in day and night environments. To fuse the …

Extrinsic calibration for LiDAR and camera is an essential prerequisite for sensor fusion.
Recently, automatic and target-less extrinsic calibration has become the mainstream of …

The integration of cameras and LiDAR sensors has emerged as a promising approach to
enhance environmental perception and 3-D reconstruction capabilities in autonomous …

In autonomous driving, the LiDAR-Camera system plays a crucial role in a vehicle's
perception of 3D environments. To effectively fuse information from both camera and LiDAR …

In this paper, we propose a novel network, Fusion-Net, which can estimate the extrinsic
calibration matrix between LiDAR and a monocular RGB camera with high accuracy and …

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

Autonomous navigation and unmanned systems are gaining increasingly attention by the
research community, especially towards solving problems related to multi-sensory data …

3D LiDAR and 2D camera are widely used in environment perception tasks in autonomous
driving and robot navigation. The prerequisite for multi-sensor data fusion is to calibrate …

The research on extrinsic calibration between Light Detection and Ranging (LiDAR) and
camera are being promoted to a more accurate, automatic and generic manner. Since deep …