Multi-modal sensing often involves determining correspondences between each domain's
signals, which in turn depends on the accurate extrinsic calibration of the sensors …

Fusion of heterogeneous exteroceptive sensors is the most efficient and effective path to the
representation of the environment precisely, as it can compromise various drawbacks of …

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 …

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

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 …

Reliable real-time extrinsic parameters of 3D Light Detection and Ranging (LiDAR) and
camera are a key component of multi-modal perception systems. However, extrinsic …

Autonomous driving heavily relies on light detection and ranging (LiDAR) and camera
sensors, which can significantly improve the performance of perception and navigation tasks …

Mobile robots are being equipped with an ever increasing amount of sensors, and by taking
advantage of each modality's forte, through sensor fusion we are able to produce superior …

This paper investigates a novel calibration process of devices with different modalities,
which is a critical step of computer vision applications. We propose a fully automatic extrinsic …

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