The combination of light detection and rangings (LiDARs) and cameras enables a mobile
robot to perceive environments with multimodal data, becoming a key factor in achieving …

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

Current traditional methods for LiDAR-camera extrinsics estimation depend on offline targets
and human efforts, while learning-based approaches resort to iterative refinement for …

This paper presents an open source LiDAR-camera calibration toolbox that is general to
LiDAR and cam-era projection models, requires only one pairing of LiDAR and camera data …

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 …

Accurate camera-to-lidar calibration is a requirement for sensor data fusion in many 3D
perception tasks. In this paper, we present SceneCalib, a novel method for simultaneous self …

We propose a targetless method for calibrating the extrinsic parameters among multiple
cameras and a LiDAR sensor using object pose estimation. Contrast to previous targetless …

In multimodal perception systems, achieving precise extrinsic calibration between LiDAR
and camera is of critical importance. Previous calibration methods often required specific …

This paper proposes an automated method to obtain the extrinsic calibration parameters
between a camera and a 3D lidar with as low as 16 beams. We use a checkerboard as a …

In this letter, we present a novel method for automatic extrinsic calibration of high-resolution
LiDARs and RGB cameras in targetless environments. Our approach does not require …