Accurate LiDAR-camera extrinsic calibration is a precondition for many multi-sensor systems
in mobile robots. Most calibration methods rely on laborious manual operations and …

Accurate LiDAR-camera online calibration is critical for modern autonomous vehicles and
robot platforms. Dominant methods heavily rely on hand-crafted features, which are not …

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

3D LiDARs and 2D cameras are increasingly being used alongside each other in sensor
rigs for perception tasks. Before these sensors can be used to gather meaningful data …

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

As an essential procedure of data fusion, LiDAR-camera calibration is critical for
autonomous vehicles and robot navigation. Most calibration methods require laborious …

Sensor fusion is vital for the safe and robust operation of autonomous vehicles. Accurate
extrinsic sensor to sensor calibration is necessary to accurately fuse multiple sensor's data …

In this paper, we address the problem of extrinsic calibration of a camera and a 3D Light
Detection and Ranging (LiDAR) sensor using a checkerboard. Unlike previous works which …

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 …

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