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Academia · 5,559 papers
Aviation research, sourced & cited.
Curated index of aviation-relevant research from NASA NTRS, NTSB safety studies, FAA CAMI, and academic sources. Every record links back to its original — we don't host PDFs, we describe each paper and credit the authors. Built for cross-link with the rest of Atlas: search by topic, drill into a CFR section or airframe and see the research that bears on it.
5,559 matches
- arXiv 2024 ARXIV arXiv preprint
Routing and Scheduling Optimization for Urban Air Mobility Fleet Management using Quantum Annealing
The growing integration of urban air mobility (UAM) for urban transportation and delivery has accelerated due to increasing traffic congestion and its environmental and economic repercussions.
- arXiv 2024 ARXIV arXiv preprint
Automated extraction of 4D aircraft trajectories from video recordings
The Bureau d'Enqu{ê}tes et d'Analyses pour la S{é}curit{é} de l'Aviation Civile (BEA) has to analyze accident videos from on-board or ground cameras involving all types of aircraft.
- arXiv 2024 ARXIV arXiv preprint
Advancing Experimental Platforms for UAV Communications: Insights from AERPAW'S Digital Twin
The rapid evolution of 5G and beyond has advanced space-air-terrestrial networks, with unmanned aerial vehicles (UAVs) offering enhanced coverage, flexible configurations, and cost efficiency.
- arXiv 2024 ARXIV arXiv preprint
Sensor-Based Safety-Critical Control Using an Incremental Control Barrier Function Formulation via Reduced-Order Approximate Models
The existing control barrier function literature generally relies on precise mathematical models to guarantee system safety, limiting their applicability in scenarios with parametric uncertainties.
- arXiv 2024 ARXIV arXiv preprint
Cooperative UAV-Relay based Satellite Aerial Ground Integrated Networks
In the post-fifth generation (5G) era, escalating user quality of service (QoS) strains terrestrial network capacity, especially in urban areas with dynamic traffic distributions.
- arXiv 2024 ARXIV arXiv preprint
Variations in Multi-Agent Actor-Critic Frameworks for Joint Optimizations in UAV Swarm Networks: Recent Evolution, Challenges, and Directions
Autonomous unmanned aerial vehicle (UAV) swarm networks (UAVSNs) can effectively execute surveillance, connectivity, and computing services to ground users (GUs).
- arXiv 2024 ARXIV arXiv preprint
Very High-Resolution Bridge Deformation Monitoring Using UAV-based Photogrammetry
Accurate and efficient structural health monitoring of infrastructure objects such as bridges is a vital task, as many existing constructions have already reached or are approaching their planned service life.
- arXiv 2024 ARXIV arXiv preprint
Does small-scale turbulence matter for ice growth in mixed-phase clouds?
Representing the glaciation of mixed-phase clouds in terms of the Wegener-Bergeron-Findeisen process is a challenge for many weather and climate models, which tend to overestimate this process because cloud dynamics and …
- arXiv 2024 ARXIV arXiv preprint
Propeller damage detection, classification and estimation in multirotor vehicles
This manuscript details an architecture and training methodology for a data-driven framework aimed at detecting, identifying, and quantifying damage in the propeller blades of multirotor Unmanned Aerial Vehicles.
- arXiv 2024 ARXIV arXiv preprint
A Hamiltonian Dysthe equation for hydroelastic waves in a compressed ice sheet
Nonlinear hydroelastic waves along a compressed ice sheet lying on top of a two-dimensional fluid of infinite depth are investigated. Based on a Hamiltonian formulation of this problem and by applying techniques from Ham…
- arXiv 2024 ARXIV arXiv preprint
Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization
In this paper, performance of a lossy cooperative unmanned aerial vehicle (UAV) relay communication system is analyzed. In this system, the UAV relay adopts lossy forward (LF) strategy and the receiver has certain distor…
- arXiv 2024 ARXIV arXiv preprint
Resource Allocation Based on Optimal Transport Theory in ISAC-Enabled Multi-UAV Networks
This paper investigates the resource allocation optimization for cooperative communication with non-cooperative localization in integrated sensing and communications (ISAC)-enabled multi-unmanned aerial vehicle (UAV) coo…
- arXiv 2024 ARXIV arXiv preprint
Custom Non-Linear Model Predictive Control for Obstacle Avoidance in Indoor and Outdoor Environments
Navigating complex environments requires Unmanned Aerial Vehicles (UAVs) and autonomous systems to perform trajectory tracking and obstacle avoidance in real-time.
- arXiv 2024 ARXIV arXiv preprint
Cellular Network Densification: a System-level Analysis with IAB, NCR and RIS
As the number of user equipments increases in fifth generation (5G) and beyond, it is desired to densify the cellular network with auxiliary nodes assisting the base stations.
- NASA NTRS 2024 ARC Presentation
Training the Powered-Lift Evaluation Pilot
This presentation focuses on the preparation and training of evaluation pilots during the second of two research studies: Automation Enabled Pilot studies 1 and 2 (AEP-1 and AEP-2).
- NASA NTRS 2024 ARC Conference Paper
Training the Powered-Lift Evaluation Pilot
This paper focuses on the preparation and training of evaluation pilots during the second of two research studies: Automation Enabled Pilot studies 1 and 2 (AEP-1 and AEP-2).
- NASA NTRS 2024 ARC Presentation
Incorporating UAS Traffic Management into Wildland Firefighting Operations: Initial Findings of Subject Matter Expert Interviews
Uncrewed Aircraft Systems (UASs) are being utilized throughout the disaster and emergency response domain, including in wildland firefighting operations.
- NASA NTRS 2024 ARC Conference Paper
Incorporating UAS Traffic Management into Wildland Firefighting Operations: Initial Findings of Subject Matter Expert Interviews
Uncrewed Aircraft Systems (UASs) are being utilized throughout the disaster and emergency response domain, including in wildland firefighting operations.
- Semantic Scholar 2024 Article (BMC Medical Education)
Augmented reality visualization for ultrasound-guided interventions: a pilot randomized crossover trial to assess trainee performance and cognitive load
Augmented reality (AR) technology involving head-mounted displays (HMD) represents a significant innovation in medical education, particularly for training in guided invasive procedures.
- arXiv 2024 ARXIV arXiv preprint
Model-Free versus Model-Based Reinforcement Learning for Fixed-Wing UAV Attitude Control Under Varying Wind Conditions
This paper evaluates and compares the performance of model-free and model-based reinforcement learning for the attitude control of fixed-wing unmanned aerial vehicles using PID as a reference point.
- arXiv 2024 ARXIV arXiv preprint
Thermodynamic growth of sea ice: assessing the role of salinity using a quasi-static modelling framework
Sea ice is a mushy layer, a porous material whose properties depend on the relative proportions of solid and liquid. The growth of sea ice is governed by heat transfer through the ice together with appropriate boundary c…
- arXiv 2024 ARXIV arXiv preprint
Learning with Dynamics: Autonomous Regulation of UAV Based Communication Networks with Dynamic UAV Crew
Unmanned Aerial Vehicle (UAV) based communication networks (UCNs) are a key component in future mobile networking. To handle the dynamic environments in UCNs, reinforcement learning (RL) has been a promising solution att…
- arXiv 2024 ARXIV arXiv preprint
Multirotor Nonlinear Model Predictive Control based on Visual Servoing of Evolving Features
This article presents a Visual Servoing Nonlinear Model Predictive Control (NMPC) scheme for autonomously tracking a moving target using multirotor Unmanned Aerial Vehicles (UAVs).
- arXiv 2024 ARXIV arXiv preprint
RIS-aided Trajectory Optimization in Layered Urban Air Mobility
Urban Air Mobility (UAM) relies on developing aerospace industries, where safe aviation and efficient communication are critical features of aircraft.
- arXiv 2024 ARXIV arXiv preprint
Enabling On-Chip High-Frequency Adaptive Linear Optimal Control via Linearized Gaussian Process
Unpredictable and complex aerodynamic effects pose significant challenges to achieving precise flight control, such as the downwash effect from upper vehicles to lower ones.
- arXiv 2024 ARXIV arXiv preprint
Invisible Servoing: a Visual Servoing Approach with Return-Conditioned Latent Diffusion
In this paper, we present a novel visual servoing (VS) approach based on latent Denoising Diffusion Probabilistic Models (DDPMs), that explores the application of generative models for vision-based navigation of UAVs (Un…
- arXiv 2024 ARXIV arXiv preprint
Black-box Stealthy GPS Attacks on Unmanned Aerial Vehicles
This work focuses on analyzing the vulnerability of unmanned aerial vehicles (UAVs) to stealthy black-box false data injection attacks on GPS measurements.
- arXiv 2024 ARXIV arXiv preprint
Application of Log-Linear Dynamic Inversion Control to a Multi-rotor
This paper presents an approach that employs log-linearization in Lie group theory and the Newton-Euler equations to derive exact linear error dynamics for a multi-rotor model, and applies this model with a novel log-lin…
- arXiv 2024 ARXIV arXiv preprint
Stochastic Control of UAVs: An Optimal Tradeoff between Performance, Flight Smoothness and Control Effort
Safe and accurate control of unmanned aerial vehicles in the presence of winds is a challenging control problem due to the hard-to-model and highly stochastic nature of the disturbance forces acting upon the vehicle.
- arXiv 2024 ARXIV arXiv preprint
Automatic Control With Human-Like Reasoning: Exploring Language Model Embodied Air Traffic Agents
Recent developments in language models have created new opportunities in air traffic control studies. The current focus is primarily on text and language-based use cases.
- NASA NTRS 2024 LaRC Poster
System-Wide Error Attribution in Multi-Vehicle Operations: Theoretical Explanation, Implications, and Applications
In multi-vehicle aerial operation contexts, a single or several human operators (m) are responsible for managing multiple uncrewed vehicles (N). This is referred to as the m:N operational paradigm.
- arXiv 2024 ARXIV arXiv preprint
Three-dimensional Nonlinear Path-following Guidance with Bounded Input Constraints
In this paper, we consider the tracking of arbitrary curvilinear geometric paths in three-dimensional output spaces of unmanned aerial vehicles (UAVs) without pre-specified timing requirements, commonly referred to as pa…
- arXiv 2024 ARXIV arXiv preprint
Probabilistically safe controllers based on control barrier functions and scenario model predictive control
Control barrier functions (CBFs) offer an efficient framework for designing real-time safe controllers. However, CBF-based controllers can be short-sighted, resulting in poor performance, a behaviour which is aggravated …
- arXiv 2024 ARXIV arXiv preprint
When Learning Meets Dynamics: Distributed User Connectivity Maximization in UAV-Based Communication Networks
Distributed management over Unmanned Aerial Vehicle (UAV) based communication networks (UCNs) has attracted increasing research attention.
- arXiv 2024 ARXIV arXiv preprint
Adaptive Probabilistic Planning for the Uncertain and Dynamic Orienteering Problem
The Orienteering Problem (OP) is a well-studied routing problem that has been extended to incorporate uncertainties, reflecting stochastic or dynamic travel costs, prize-collection costs, and prizes.
- NASA NTRS 2024 ARC Technical Memorandum (TM)
Autonomous Drone Integration in Prescribed Fire Operations
With the surge in wildfire frequency and severity, the risk to firefighters, communities, and forests has escalated dramatically. Climate change and increased amounts of fuel have intensified these challenges, making wil…
- arXiv 2024 ARXIV arXiv preprint
Flying a Quadrotor with Unknown Actuators and Sensor Configuration
Though control algorithms for multirotor Unmanned Air Vehicle (UAV) are well understood, the configuration, parameter estimation, and tuning of flight control algorithms takes quite some time and resources.
- Flight Safety Foundation 2024 FSF FSF / AeroSafety World
Runway Safety Initiative Final Report (RSI)
Foundation Runway Safety Initiative final report — comprehensive analysis of runway excursion + incursion risk drivers worldwide. Recommendations include enhanced TALPA implementation, EFB-based stopping-margin tools, an…
- arXiv 2024 ARXIV arXiv preprint
Freezing receding contact lines
We investigate experimentally the receding of a contact line when a Peltier module is pulled out of a water bath at constant speed, while a ice layer is also growing at constant speed on the Peltier module.
- arXiv 2024 ARXIV arXiv preprint
Improving the Region of Attraction of a Multi-rotor UAV by Estimating Unknown Disturbances
This study presents a machine learning-aided approach to accurately estimate the region of attraction (ROA) of a multi-rotor unmanned aerial vehicle (UAV) controlled using a linear quadratic regulator (LQR) controller.
- arXiv 2024 ARXIV arXiv preprint
Extended Road-Aware Line-of-Sight Probability Model for Urban Air Mobility
As urban air mobility (UAM) emerges as a transformative solution to urban transportation, the demand for robust communication frameworks capable of supporting high-density aerial traffic becomes increasingly critical.
- arXiv 2024 ARXIV arXiv preprint
Active Search for Low-altitude UAV Sensing and Communication for Users at Unknown Locations
This paper studies optimal unmanned aerial vehicle (UAV) placement to ensure line-of-sight (LOS) communication and sensing for a cluster of ground users possibly in deep shadow, while the UAV maintains backhaul connectiv…
- arXiv 2024 ARXIV arXiv preprint
Efficient Active Flow Control Strategy for Confined Square Cylinder Wake Using Deep Learning-Based Surrogate Model and Reinforcement Learning
This study presents a deep learning model-based reinforcement learning (DL-MBRL) approach for active control of two-dimensional (2D) wake flow past a square cylinder using antiphase jets.
- arXiv 2024 ARXIV arXiv preprint
cc-DRL: a Convex Combined Deep Reinforcement Learning Flight Control Design for a Morphing Quadrotor
In comparison to common quadrotors, the shape change of morphing quadrotors endows it with a more better flight performance but also results in more complex flight dynamics.
- arXiv 2024 ARXIV arXiv preprint
Programmable Jumping-Droplet Condensation
Self-propelled droplet jumping during condensation has attractive prospects for energy harvesting, water collection and thermal management, but its real-life applications are greatly limited to the challenge of enabling …
- arXiv 2024 ARXIV arXiv preprint
Twist, turn and encounter: the trajectories of small atmospheric particles unravelled
Every solid particle in the atmosphere, from ice crystals and pollen to dust, ash, and microplastics, is non-spherical. These particles play significant roles in Earth's climate system, influencing temperature, weather p…
- arXiv 2024 ARXIV arXiv preprint
Fault Tolerant Dynamic Task Assignment for UAV-based Search Teams
This research offers a novel framework for dynamic task assignment for unmanned aerial vehicles (UAVs) in cooperative search settings.
- arXiv 2024 ARXIV arXiv preprint
Newton-Raphson Flow for Aggressive Quadrotor Tracking Control
We apply the Newton-Raphson flow tracking controller to aggressive quadrotor flight and demonstrate that it achieves good tracking performance over a suite of benchmark trajectories, beating the native trajectory trackin…
- arXiv 2024 ARXIV arXiv preprint
Harnessing the Potential of Omnidirectional Multi-Rotor Aerial Vehicles in Cooperative Jamming Against Eavesdropping
Recent research in communications-aware robotics has been propelled by advancements in 5G and emerging 6G technologies. This field now includes the integration of Multi-Rotor Aerial Vehicles (MRAVs) into cellular network…
- arXiv 2024 ARXIV arXiv preprint
GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network
Unmanned Aerial Vehicles (UAVs), due to their low cost and high flexibility, have been widely used in various scenarios to enhance network performance.