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

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 …

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 …

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 …

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 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 …

Nowadays, portable cameras and LiDARs are widely applied in robotic applications for
environment perception, path planning, and high precision navigation. In such cases …

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 …

The integration of multiple solid state LiDARs could achieve similar performance as a
spinning LiDAR, by focusing on the dedicated area of interests. However, due to their small …

Lidar and visual imagery have been broadly utilized in computer vision and mobile robotics
applications because these sensors provide complementary information. However, in order …