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Reliability of Real-Time Kinematic (RTK) Positioning for Low-Cost Drones' Navigation across Global Navigation
Luca Tavasci1, Francesco Nex2, Stefano Gandolfi1
1Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), Alma Mater Studiorum, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy.
This study assesses Real-Time Kinematic Global Navigation Satellite System (RTK GNSS) positioning for drones in challenging environments. Findings provide practical recommendations for safe drone navigation near obstacles like walls and bridges.
Area of Science:
- * Robotics and Autonomous Systems
- * Geomatics Engineering
- * Navigation and Positioning Systems
Background:
- * Unmanned Aerial Vehicles (UAVs) are increasingly used for surveying, often in complex environments near structures.
- * Real-Time Kinematic Global Navigation Satellite System (RTK GNSS) offers high precision but is susceptible to signal degradation.
- * Critical operational conditions like urban canyons and tunnels challenge RTK GNSS accuracy for drones.
Purpose of the Study:
- * To evaluate the performance limitations of low-cost RTK GNSS modules on lightweight drones.
- * To assess positioning accuracy in demanding scenarios simulating infrastructure inspection.
- * To identify factors affecting RTK GNSS quality in restricted environments.
Main Methods:
- * Simulated drone trajectories in three critical scenarios: near tall walls, in tunnels, and under bridges.
- * Varied parameters including GNSS outage duration, flight dynamics, and obstacle proximity.
- * Analyzed positioning quality based on collected data from low-cost GNSS modules.
Main Results:
- * RTK GNSS positioning quality significantly degrades under conditions with limited sky visibility and multipath effects.
- * Specific flight dynamics and obstacle sizes were correlated with reduced positioning accuracy.
- * Identified critical thresholds for signal outages impacting safe navigation.
Conclusions:
- * Low-cost RTK GNSS on drones faces substantial limitations in complex operational environments.
- * Practical recommendations are derived for safe drone operation using standard software and GNSS parameters.
- * The study guides users on managing risks associated with drone navigation near infrastructure.
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