UAV Localization
UAV localization focuses on accurately determining the position and orientation of unmanned aerial vehicles, crucial for autonomous navigation and various applications. Current research emphasizes robust solutions for GPS-denied environments, employing diverse sensor fusion techniques (e.g., combining visual, inertial, and radio frequency data) and advanced algorithms like neural networks, Kalman filtering, and graph optimization. These advancements are improving the reliability and precision of UAV navigation, impacting fields such as surveying, search and rescue, and infrastructure inspection.
Papers
Multi-Stage Fusion Architecture for Small-Drone Localization and Identification Using Passive RF and EO Imagery: A Case Study
Thakshila Wimalajeewa Wewelwala, Thomas W. Tedesso, Tony Davis
Self-Corrective Sensor Fusion for Drone Positioning in Indoor Facilities
Francisco Javier González-Castaño, Felipe Gil-Castiñeira, David Rodríguez-Pereira, José Ángel Regueiro-Janeiro, Silvia García-Méndez, David Candal-Ventureira