Iago Dorado
Papers
1
Total Citations
44
H-Index
1
About
Iago Dorado is a leading researcher in geospatial engineering, specializing in wearable mapping systems, 3D-SLAM (Simultaneous Localization and Mapping), and LiDAR-based indoor modeling. His most cited work, "Behavior Analysis of Novel Wearable Indoor Mapping System Based on 3D-SLAM" (2018, 44 citations), introduces a pioneering wearable prototype developed at the University of Vigo. This system leverages a Velodyne LiDAR with 16 rays to capture low-density 3D point clouds, enabling efficient indoor mapping through advanced SLAM algorithms. Dorado’s contribution lies in optimizing real-time localization and mapping for portable, human-operated devices, addressing key challenges in GPS-denied environments. His research has significantly impacted fields like robotics, autonomous navigation, and indoor spatial intelligence, providing a cost-effective solution for 3D reconstruction. With a growing citation record, Dorado’s work is recognized for bridging hardware innovation and algorithmic efficiency, making him a notable figure in wearable sensing and geospatial data acquisition.
Research Focus
Key Achievements
Top Papers
- 1Behavior Analysis of Novel Wearable Indoor Mapping System Based on 3D-SLAM44 citations · 2018