Given the initial calibration of multiple sensors, the fine registration between Mobile Laser
Scanning (MLS) point clouds and panoramic images is still challenging due to the …

This paper proposes a targetless and automatic camera-LiDAR calibration method. Our
approach extends the hand-eye calibration framework to 2D-3D calibration. The scaled …

Accurate registration of light detection and ranging (LiDAR) point clouds and images is a
prerequisite for integrating the spectral and geometrical information collected by low-cost …

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 …

Buildings take a large proportion of the total energy consumption in the city area in winter,
therefore Thermal Infrared (TIR) images are widely used to evaluate the energy …

For sensory data fusion, a calibration method between 3D light detection and ranging
(LiDAR) and color camera based on ranging statistical characteristics and improved …

Inaccurate exterior orientation parameters (EoPs) between sensors obtained by pre-
calibration leads to failure of registration between panoramic image sequence and mobile …

There is a growing need for 3D colored maps acquired from multi-sensor moving platforms.
Accurate multi-sensor data alignment is an important prerequisite for the construction of 3D …

Terrestrial laser scanning has been widely used in the dimensional quality assessment
(DQA) on building components, but the extraction of component data is mostly done by a …

智能驾驶车辆行驶环境复杂多样, 不可避免地导致传感器相对位姿发生变化,
此时需要进行重新标定. 针对智能驾驶车辆的相机和激光雷达发生漂移后的重标定问题 …