3 papers
cs.CG2026
Efficient Neighbourhood Search in 3D Point Clouds Through Space-Filling Curves and Linear Octrees
Pablo D. Viñambres, Miguel Yermo, Silvia R. Alcaraz +3
This work presents an efficient approach for neighbourhood searching in 3D point clouds by combining spatial reordering leveraging Space-Filling Curves (SFC), specifically Morton a…
cs.CV2025
ALICE-LRI: A General Method for Lossless Range Image Generation for Spinning LiDAR Sensors without Calibration Metadata
Samuel Soutullo, Miguel Yermo, David L. Vilariño +3
3D LiDAR sensors are essential for autonomous navigation, environmental monitoring, and precision mapping in remote sensing applications. To efficiently process the massive point c…
cs.DS2025
Cheesemap: A High-Performance Point-Indexing Data Structure for Neighbor Search in LiDAR Data
Ruben Laso, Miguel Yermo
Point cloud data, as the representation of three-dimensional spatial information, is a fundamental piece of information in various domains where indexing and querying these point c…