In this work, we present a novel target-based lidar-camera extrinsic calibration methodology
that can be used for non-overlapping field of view (FOV) sensors. Contrary to previous work …

This paper presents MFCalib, an innovative extrinsic calibration technique for LiDAR and
RGB camera that operates automatically in targetless environments with a single data …

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 …

In a multi-sensor fusion system composed of cameras and LiDAR, precise extrinsic
calibration contributes to the system's long-term stability and accurate perception of the …

In this article, an automatic and targetless extrinsic calibration method is proposed for the
light detection and ranging (LiDAR)–camera system, which can calibrate extrinsic …

Determining the extrinsic parameter between multiple light detection and rangings (LiDARs)
and cameras is essential for autonomous robots, especially for solid-state LiDARs, where …

LiDAR, an essential sensor in computer vision, is highly regarded due to its robust
resistance to interference and its ability to provide accurate range measurements, even with …

The goal of this study is to achieve automatic extrinsic calibration of a camera-LiDAR system
that does not require calibration targets. Calibration through maximization of statistical …

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

This paper introduces a novel targetless method for joint intrinsic and extrinsic calibration of
LiDAR-camera systems using plane-constrained bundle adjustment (BA). Our method …