4 Art�culos

Real-Time On-the-Fly Motion Planning for Urban Air Mobility via Updating Tree Data of Sampling-Based Algorithms Using Neural Network Inference

Acceso

en l�nea

Junlin Lou, Burak Yuksek, Gokhan Inalhan and Antonios Tsourdos

In this study, we consider the problem of motion planning for urban air mobility applications to generate a minimal snap trajectory and trajectory that cost minimal time to reach a goal location in the presence of dynamic geo-fences and uncertainties in ... ver m�s

Revista: Aerospace Formato: Electr�nico

Tabla de contenido: Vol: 11 Num: 0 Par: 1 A�o: 2024

AI-Enabled Interference Mitigation for Autonomous Aerial Vehicles in Urban 5G Networks

Acceso

en l�nea

Anirudh Warrier, Saba Al-Rubaye, Gokhan Inalhan and Antonios Tsourdos

Integrating autonomous unmanned aerial vehicles (UAVs) with fifth-generation (5G) networks presents a significant challenge due to network interference. UAVs? high altitude and propagation conditions increase vulnerability to interference from neighbouri... ver m�s

Revista: Aerospace Formato: Electr�nico

Tabla de contenido: Vol: 10 Num: 0 Par: 10 A�o: 2023

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