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

The camera-Lidar sensor fusion plays an important role in autonomous navigation research.
Nowadays, the automatic calibration of these sensors remains a significant challenge in …

Sensor calibration is the fundamental block for a multi-sensor fusion system. This paper
presents an accurate and repeatable LiDAR-IMU calibration method (termed LI-Calib), to …

The recent trend of fusing complementary data from LiDARs and cameras for more accurate
perception has made the extrinsic calibration between the two sensors critically important …

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 …

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 …

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 …

This paper presents a novel semantic-based online extrinsic calibration approach, SOIC (so,
I see), for Light Detection and Ranging (LiDAR) and camera sensors. Previous online …

With the development of sensor technology, many different kinds of sensors are now utilized
in various application fields. Sensors can make machines smarter and multiple-sensor …

Many approaches for camera and LiDAR calibration are presented in literature but none of
them estimates all intrinsic and extrinsic parameters simultaneously and therefore optimally …