Arthur Gubbels
Papers
2
Total Citations
18
H-Index
2
About
Arthur Gubbels is a leading researcher in autonomous aerial navigation, specializing in GNSS-denied environments. His work centers on developing robust sensor fusion systems that combine visual, inertial, and LiDAR data to enable reliable odometry and mapping for drones and full-scale aircraft. Gubbels' major contributions include the creation of the MUN-FRL dataset, a unique outdoor aerial visual-inertial-LiDAR resource capturing flights from 300 meters to 5 kilometers, which has become a benchmark for GNSS-denied navigation research (16 citations). He also designed an aeronautical-grade, interchangeable payload unit for real-time visual-inertial-LiDAR odometry and mapping (VILOAM), demonstrating platform interchangeability between small drones like the DJI M600 and full-scale aircraft like the Bell 412 helicopter. This innovation bridges the gap between academic research and practical deployment in challenging environments. Gubbels' work is pivotal for advancing autonomous systems in GPS-denied scenarios, with his dataset and hardware designs enabling safer, more reliable navigation for aerial vehicles in complex, real-world conditions.
Research Focus
Key Achievements
Top Papers
- 1
- 2