Persistent cracking and progressive damage can weaken the operational performance of
structures such as bridges, dams, and concrete buildings. Consequently, research into …

In this paper, we propose a novel LiDAR-Inertial-Visual sensor fusion framework termed R 3
LIVE, which takes advantage of measurement of LiDAR, inertial, and visual sensors to …

Multi-modal data fusion has gained popularity due to its diverse applications, leading to an
increased demand for external sensor calibration. Despite several proven calibration …

In this letter, we propose a robust, real-time tightly-coupled multi-sensor fusion framework,
which fuses measurements from LiDAR, inertial sensor, and visual camera to achieve robust …

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 …

In this work, we present a novel global descriptor termed stable triangle descriptor (STD) for
3D place recognition. For a triangle, its shape is uniquely determined by the length of the …

This letter proposes an efficient and probabilistic adaptive voxel map** method for LiDAR
odometry. The map is a collection of voxels; each contains one plane feature that enables …

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