Un método para la calibración de un sistema LiDAR y cámara fisheye

Abstract

The usage of LiDAR and camera systems is increasing rapidly, since the fusion of their information may provide a better undestanding of the environment. In particular, the correct fusion of the data provided by both sensor types allows to improve the results in terms of object detection or semantic segmentation. The calibration of these systems is crucial for the correct fusion of data. This article proposes a target-based calibration method for such systems, formed by a LiDAR and a fisheye camera. The method avoids transforming the images to a pin-hole camera model, performing a calibration based on the spherical projection of the image, obtained with the calibration parameters and the corresponding point cloud