Introduces and evaluates an intent-first aerial V2V protocol using C-V2X sidelink for tactical coordination and separation in dense UTM operations, showing viability in moderate regimes with fallback at high density.
Flight demonstration of unmanned aircraft system (UAS) traffic management (UTM) at technical capability level 3
3 Pith papers cite this work. Polarity classification is still indexing.
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POMDP policies can be checked for robustness to observation model changes by solving a bi-level optimization via root-finding with the Robust Interval Search algorithm, which runs in polynomial time for non-sticky history-independent deviations when using finite-state controllers.
LLM4Delay improves flight delay prediction accuracy by using instance-level projection to adapt LLMs for integrating textual aeronautical information with multiple aircraft trajectories.
citing papers explorer
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Intent-First Aerial V2V for Tactical Coordination and Separation: Protocol and Performance Under Density and Disturbance
Introduces and evaluates an intent-first aerial V2V protocol using C-V2X sidelink for tactical coordination and separation in dense UTM operations, showing viability in moderate regimes with fallback at high density.
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Robustness Analysis of POMDP Policies to Observation Perturbations
POMDP policies can be checked for robustness to observation model changes by solving a bi-level optimization via root-finding with the Robust Interval Search algorithm, which runs in polynomial time for non-sticky history-independent deviations when using finite-state controllers.
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LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation
LLM4Delay improves flight delay prediction accuracy by using instance-level projection to adapt LLMs for integrating textual aeronautical information with multiple aircraft trajectories.