The artificial intelligence-driven system incrementally creates and aligns smaller submaps of the scene, which it stitches together to reconstruct a full 3D map, while estimating the robot’s position ...

In disaster zones, every second counts. What if a robot could map hazardous spaces in real-time, converting hundreds of images into an accurate 3D map instantly? The artificial intelligence-driven ...

Abstract: In this research paper, we present a novel approach for generating grid maps (elevation maps) from sparse 3D radar point clouds collected from a vehicle ...

Abstract: This study introduces an automated, open-source workflow for large-scale 2D and 3D building mapping using airborne LiDAR data. Uniquely, our workflow operates entirely unsupervised, ...

The 3D Toolkit provides algorithms and methods to process 3D point clouds. It includes automatic high-accurate registration (6D simultaneous localization and mapping, 6D SLAM) and other tools, e.g., a ...