iDROP: Robust Localization for Indoor Navigation of Drones with Optimized Beacon Placement

no code implementations • 26 Jan 2022 • Alireza Famili, Angelos Stavrou, Haining Wang, Jung-Min, Park

In this paper, we propose a localization scheme for drones called iDROP (Robust Localization for Indoor Navigation of Drones with Optimized Beacon Placement) that is specifically devised for GPS-denied environments (e. g., indoor spaces).

RAIL: Robust Acoustic Indoor Localization for Drones

no code implementations • 6 Nov 2021 • Alireza Famili, Angelos Stavrou, Haining Wang, Jung-Min, Park

Navigating in environments where the GPS signal is unavailable, weak, purposefully blocked, or spoofed has become crucial for a wide range of applications.

Autonomous Navigation Indoor Localization

Securing your Airspace: Detection of Drones Trespassing Protected Areas

no code implementations • 5 Nov 2021 • Alireza Famili, Angelos Stavrou, Haining Wang, Jung-Min, Park, Ryan Gerdes

There has been a rapid growth in the deployment of Unmanned Aerial Vehicles (UAVs) in various applications ranging from vital safety-of-life such as surveillance and reconnaissance at nuclear power plants to entertainment and hobby applications.