Integrated Conflict Management for UAM With Strategic Demand Capacity Balancing and Learning-Based Tactical Deconfliction
Urban air mobility (UAM) has the potential to revolutionize our daily transportation, offering
rapid and efficient deliveries of passengers and cargo between dedicated locations within …
rapid and efficient deliveries of passengers and cargo between dedicated locations within …
Safety Validation for Deep Reinforcement Learning Based Aircraft Separation Assurance with Adaptive Stress Testing
Ensuring safe separation of aircraft has become a major challenge given the growing
demand for air transportation. Recently, deep reinforcement learning (DRL) has been …
demand for air transportation. Recently, deep reinforcement learning (DRL) has been …
Safe and Scalable Real-Time Trajectory Planning Framework for Urban Air Mobility
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-flight …
that is both safe and scalable. The proposed framework employs a decentralized, free-flight …
Longitudinal dynamic envelope solution and transition path optimization based on reachability analysis for fixed-wing VTOL UAVs
K Cong, D Ma, L Zhang, X Xia, Y Cheng… - Aerospace Science and …, 2024 - Elsevier
Flight velocity and tilt angle are commonly employed to define the safe region for fixed-wing
vertical take-off and landing (FW-VTOL) UAVs as they undergo tilting, referred to as the …
vertical take-off and landing (FW-VTOL) UAVs as they undergo tilting, referred to as the …
Flight Mission Feasibility Assessment of Urban Air Mobility Operations under Battery Energy Constraint
This paper introduces a decision-making framework for Urban Air Mobility (UAM) and
Unmanned Aerial Systems (UAS) operations that addresses the dual challenges of collision …
Unmanned Aerial Systems (UAS) operations that addresses the dual challenges of collision …
Online Model-free Safety Verification for Markov Decision Processes Without Safety Violation
In this paper, we consider the problem of safety assessment for Markov decision processes
without explicit knowledge of the model. We aim to learn probabilistic safety specifications …
without explicit knowledge of the model. We aim to learn probabilistic safety specifications …
[HTML][HTML] Safe and Trustworthy Deep Reinforcement Learning for Aircraft Separation Assurance
W Guo - 2023 - search.proquest.com
Ensuring the safety separation among aircraft has become a key challenge with the rapid
growth of global air traffic. Deep Reinforcement Learning (DRL) has been recently applied to …
growth of global air traffic. Deep Reinforcement Learning (DRL) has been recently applied to …