Pedro Arias

About

Pedro Arias is a leading researcher in geomatics and 3D spatial data acquisition, with a focus on wearable mapping systems, LiDAR data processing, and the integration of real-world environments into digital platforms. His major contributions include the development of a novel wearable indoor mapping system based on 3D-SLAM, which uses a Velodyne LiDAR to create low-density 3D representations for real-time localization and mapping. This work, cited 44 times, has advanced the field of mobile mapping for indoor environments. Arias has also contributed to point cloud registration evaluation using Monte Carlo methods, enhancing the accuracy of 3D data alignment. More recently, he has explored the digitization of cultural heritage sites, such as the Castro of Santa Trega, using LiDAR data for integration into Unreal Engine 5, and designed UAV-based systems for work zone monitoring to improve infrastructure maintenance safety. His research bridges the gap between raw sensor data and immersive, practical applications, demonstrating significant impact in both academic and applied contexts.

Research Focus

Key Achievements

Top Papers

1. 1
   Behavior Analysis of Novel Wearable Indoor Mapping System Based on 3D-SLAM

   44 citations · 2018
2. 2
   Evaluation of point cloud registration using Monte Carlo method

   22 citations · 2016
3. 3
   LiDAR Data Processing for Digitization of the Castro of Santa Trega and Integration in Unreal Engine 5

   6 citations · 2023
4. 4
   Improving Safety in the Maintenance of Infrastructures: Design of a UAV-Based System for Work zone Monitoring

   2 citations · 2023

Key Collaborators

Contact & Links