activity
20222026
most citedA Survey on Reinforcement Learning in Aviation Applications

63 citations · 67 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Remote ID Spoofing-Aware Trajectory Planning for Small Unmanned Aerial Systems

Jeremiah Webb, Bryce Bjorkman, Abel Diaz Gonzalez +7

This work presents a decentralized, spoofing-aware trajectory planning framework for small unmanned aerial systems operating under Remote Identification (RID) location spoofing att…

cs.CR2026

A Survey of Security Challenges and Solutions for Advanced Air Mobility and eVTOL Aircraft

Mahyar Ghazanfari, Iman Sharifi, Peng Wei +25

This survey reviews the existing and envisioned security vulnerabilities and defense mechanisms relevant to Advanced Air Mobility (AAM) systems, with a focus on electric vertical t…

cs.CR2026★ 3 cited

A Survey of Security Challenges and Solutions for UAS Traffic Management (UTM) and small Unmanned Aerial Systems (sUAS)

Iman Sharifi, Mahyar Ghazanfari, Abenezer Taye +25

The rapid growth of small Unmanned Aerial Systems (sUAS) for civil and commercial missions has intensified concerns about their resilience to cyber-security threats. Operating with…

cs.RO2023★ 1 cited

Safe and Scalable Real-Time Trajectory Planning Framework for Urban Air Mobility

Abenezer Taye, Roberto Valenti, Akshay Rajhans +3

This paper presents a real-time trajectory planning framework for Urban Air Mobility (UAM) that is both safe and scalable. The proposed framework employs a decentralized, free-flig…

eess.SY2022★ 63 cited

A Survey on Reinforcement Learning in Aviation Applications

Pouria Razzaghi, Amin Tabrizian, Wei Guo +6

Compared with model-based control and optimization methods, reinforcement learning (RL) provides a data-driven, learning-based framework to formulate and solve sequential decision-…