This paper proposes a novel camera–LiDAR calibration method that utilizes an iterative
random sampling and intersection line-based quality evaluation using a foldable plane pair …

Planarity is a practical feature for estimating the camera–LiDAR extrinsic parameters. LiDAR
directly measures the 3-D plane in the form of a point cloud, but the camera captures the 2-D …

With the development of sensor technology, many different kinds of sensors are now utilized
in various application fields. Sensors can make machines smarter and multiple-sensor …

LiDAR-camera calibration is a precondition for many multi-sensor systems that fuse data
from LiDAR and camera. However, the constraint from common field of view and the …

Aiming at the problems of feature point calibration method of 3D light detection and ranging
(LiDAR) and camera calibration that are calibration boards in various forms, incomplete …

In this paper, we propose an enhanced LiDAR-camera calibration method that extracts the
marker plane from 3D point cloud information. In previous work, we estimated the straight …

This paper proposes a simple extrinsic calibration method for a multi-sensor system which
consists of six image cameras and a 16-channel 3D LiDAR sensor using a planar …

In this paper, we introduce a novel approach to estimate the extrinsic parameters between a
LiDAR and a camera. Our method is based on line correspondences between the LiDAR …

The accurate and robust calibration result of sensors is considered as an important building
block to the follow-up research in the autonomous driving and robotics domain. The current …

Accurate spatial parameters of LiDAR and camera is a prerequisite for information
consistency and robust online calibration is the foundation of long-term effective fusion in …