Helicopter-mounted laser scanners are going where emergency personnel cannot following natural disasters, helping to spot unstable slopes, sinkholes, structural problems and flood-prone zones before ...

This paper introduces LAMM, an open-source framework for large-scale multi-session 3D LiDAR point cloud map merging. LAMM can automatically integrate sub-maps from multiple agents carrying LiDARs with ...

' PiLiDAR ' is a project to develop a homemade 360-degree 3D panoramic scanner using the single-board computer Raspberry Pi and a LiDAR sensor, allowing anyone to build a portable 3D scanning ...

OpenLiDARMap Zero-Drift Point Cloud Mapping using Map Priors Concept We use reference maps in combination with classical LiDAR odometry to enable drift-free localization/mapping. Our approach is ...

Applications Fraunhofer KIE develops robot-lidar system to explore and map hazard sites 07 Jan 2025 Yields accurate 3D profiles of environments in disaster areas, such as chemical plant incidents, ...

Up in the air Lidar mapping reveals mountainous medieval cities along the Silk Road A city larger than many in Europe at the time was perched in the mountains.

Another quick and easy way to gather accurate, site-condition information is through point cloud scanning. Point cloud scanning produces geo-referenced, 3D models of an area.

First of all, thank you for your outstanding work. I have a few questions regarding the initialization process described in this paper: Are LiDAR points combined with Colmap, using visual points from ...

This paper proposes the LiDAR Map LiDAR-Visual-Inertial Localization (LM-LVIL) system, integrating LiDAR, visual, and inertial sensors within a pre-constructed LiDAR map. The key innovation is ...