Aviation research, sourced & cited.

Low-altitude wireless networks: A comprehensive survey

The rapid development of the low-altitude economy has imposed unprecedented demands on wireless infrastructure to accommodate large-scale drone deployments and facilitate intelligent services in dynamic airspace environm…

Human-Factors-in-Aviation-Loop: Multimodal Deep Learning for Pilot Situation Awareness Analysis Using Gaze Position and Flight Control Data

Situation awareness (SA) is a crucial factor affecting flight safety for pilots, yet few studies have focused specifically on modeling SA for pilots, resulting in limited success.

Quantifying the Impact of Spatial Disorientation on Pilot Mental Workload and Attentional Focus

Objective We aimed to find objective measures of the impact of spatially disorienting (SD) stimuli on pilot cognition in an ecologically valid environment.

Human Factors Requirements for Human-AI Teaming in Aviation

The advent of Artificial Intelligence in the cockpit and the air traffic control centre in the coming decade could mark a step-change improvement in aviation safety, or else could usher in a flush of ‘AI-induced’ acciden…

A Review of Last-Mile Delivery Optimization: Strategies, Technologies, Drone Integration, and Future Trends

Last-mile delivery (LMD) is an important aspect of contemporary logistics that directly affects operational cost, efficiency, and customer satisfaction.

YOLO-GCOF: A Lightweight Low-Altitude Drone Detection Model

The maturity of the drone industry and the open access to low-altitude airspace have resulted in massive use of low-altitude drones. While the use of drones has brought economic efficiency, the illegal use of drones has …

Real-time drone detection framework based on advanced texture feature extraction and pattern recognition model using GUI

A groundbreaking framework that synergizes advanced integration technique based on texture feature extraction and pattern recognition techniques for real-time drone detection to increase accuracy to detect drones in diff…

Drone-Based Wildfire Detection with Multi-Sensor Integration

Wildfires pose a severe threat to ecological systems, human life, and infrastructure, making early detection critical for timely intervention.

DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains

Dependable visual drone detection is crucial for the secure integration of drones into the airspace. However, drone detection accuracy is significantly affected by domain shifts due to environmental changes, varied point…

Future of sustainable farming: exploring opportunities and overcoming barriers in drone-IoT integration

Sustainable agriculture is being transformed by drone-IoT integration, improving precision, efficiency, and sustainability. This study examines the pros and downsides of using various technologies to handle connectivity,…

DRONE ON: A PRELIMINARY INVESTIGATION OF THE ACOUSTIC IMPACT OF UNMANNED AIRCRAFT SYSTEMS (UAS)

Increasingly, operations with unmanned aircraft systems (UAS) are occurring in populous regions. Commercial entities propose increasingly frequent, very low-level flights of a diverse range of small craft (particularly q…

Impact of Drone and Big Data Integration on Supply Chain Efficiency and Operations

This paper focuses on analyzing the effects that are characterized by the use of drones in supply chain management and the role played by big data integration.

Optimal Charging with Active Thermal Management for eVTOL Aircraft Battery Packs

Electric vertical takeoff and landing (eVTOL) aircraft operation often requires the battery packs to be charged and thermally conditioned to a given range of state-of-charge (SOC) and temperature for the next flight in m…

Monitoring Unmanned Aircraft: Specification, Integration, and Lessons-learned

This paper reports on the integration of runtime monitoring into fully-electric aircraft designed by Volocopter, a German aircraft manufacturer of electric multi-rotor helicopters.

Advancing Drone Operations through Lightweight Blockchain and Fog Computing Integration: A Systematic Review

This paper presents a systematic literature review investigating the integration of lightweight blockchain and fog computing technologies to enhance the security and operational efficiency of drones.

The Sound of Surveillance: Enhancing Machine Learning-Driven Drone Detection with Advanced Acoustic Augmentation

In response to the growing challenges in drone security and airspace management, this study introduces an advanced drone classifier, capable of detecting and categorizing Unmanned Aerial Vehicles (UAVs) based on acoustic…

A Decentralized Voting and Monitoring Flight Control Actuation System for eVTOL Aircraft

The emergence of eVTOL (electrical Vertical Takeoff and Landing) aircraft necessitates the development of safe and efficient systems to meet stringent certification and operational requirements.

Autonomous Navigation for eVTOL: Review and Future Perspectives

This survey paper explores the emergent domain of electric vertical takeoff and landing vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities essential for their effective integration and…

Application of PCA and Unsupervised Deep Learning in Bird and Drone Discrimination Based on FMCW Radar Measurements

In low-altitude airspace surveillance, distinguishing between birds and drones is crucial due to their overlapping radar signatures. Radar, the preferred technology for long-range surveillance, struggles with this differ…

Synthetic Data-Integrated Li-Ion Battery Modeling for eVTOL Energy Systems

Lithium-ion batteries play a crucial role in present-day energy storage systems, necessitating the development of precise prediction models to improve their performance and ensure safety.

Research on Lateral Safety Spacing for Fusion Operation Based on Unmanned and Manned Aircraft-Event Modeling

With the rapid development of unmanned aerial vehicle technology and its increasing application across various fields, current airspace resources are insufficient for unmanned aerial vehicles’ needs.

On Safety of Decentralized Unmanned Aircraft System Traffic Management Using Blockchain

The increasing use of Unmanned Aerial Vehicles (UAVs), especially in the civil sector, has brought to the fore-front the challenge of managing and integrating them within national airspace alongside manned aircraft.

Segmentation of Drone Collision Hazards in Airborne RADAR Point Clouds Using PointNet

The integration of drones into shared airspace for beyond visual line of sight (BVLOS) operations presents significant challenges but holds transformative potential for sectors like transportation, construction, energy a…

A Modified Total Energy Control Scheme for Unmanned Aircraft

The paper focuses on safety and simplicity of unmanned aircraft longitudinal control and proposes a new combination of total energy control (TECS) and conventional control.

Human factors in cybersecurity: Designing an effective cybersecurity education program for healthcare staff

Leaders who promote cybersecurity education focused on the human factors of cyberattack build a resilient workforce that complements technical protections, reducing organizational risk.

Digital Twin Development for the Airspace of the Future

The UK aviation industry is committed to achieving net zero emissions by 2050 through sustainable measures and one of the key aspects of this effort is the implementation of Unmanned Traffic Management (UTM) systems.

Informing Visual Display Design of Electronic Health Records: A Human Factors Cross-Industry Perspective

Despite their prevalence, poorly designed electronic health records (EHRs) are common, and research shows poor design consequences include clinician burnout, diagnostic error, and even patient harm.

Minimum-Time Trajectory Generation of eVTOL in Low-Speed Phase: Application in Control Law Design

With the emergence of electric propulsive technologies in the past decades, electric vertical takeoff and landing (eVTOL) aircraft gain increasing interest, which paves the path for advanced air mobility.

Analysis of the Requirement and Architecture for the Internet of Drones

Internet of Drones (IoDs) is a network meant to connect drones and their users through the Internet. It is now possible for industries to perform a variety of missions in a controlled airspace utilising several drones th…

Human Factors in Aviation and Artificial Systems: The Purdue Aviation Virtual Reality case study

Because of the COVID-19 pandemic, video conferencing has dramatically expanded as an alternative to traditional face-to-face classroom instruction.

Data-driven risk analysis of unmanned aircraft system operations considering spatiotemporal characteristics of population distribution

One of the challenges of Unmanned Aircraft System (UAS) operations is to operate an unmanned aircraft with minimal risk to people on the ground.

URANUS: Radio Frequency Tracking, Classification and Identification of Unmanned Aircraft Vehicles

Safety and security issues for Critical Infrastructures are growing as attackers adopt drones as an attack vector flying in sensitive airspaces, such as airports, military bases, city centers, and crowded places.

Detection and Prediction of a Pair of Unmanned Aircraft Contact

In the current world of increasing density of unmanned aerial vehicle operations in the airspace, there is an enhanced emphasis on their safety due to the potential for mid-air collision, either with another aircraft or …

SMART SKY EYE System for Preliminary Structural Safety Assessment of Buildings Using Unmanned Aerial Vehicles

The development of unmanned aerial vehicles (UAVs) is expected to become one of the most commercialized research areas in the world over the next decade.

Machine Learning Verification and Safety for Unmanned Aircraft - A Literature Study

Multivariate Combined Collision Detection for Multi-Unmanned Aircraft Systems

To mitigate the problem of multiple unmanned aircraft systems (MUAS) conflicts at low altitude and ensure the operational safety, this paper proposes a Multivariate Combined Conflict Detection (MCCD) method for MUAS by c…

Natural Language Processing for the identification of Human factors in aviation accidents causes: An application to the SHEL methodology

This paper considers the issue of machine learning techniques by leveraging on the state-of-the-art technologies of Natural Language Processing, adapted to the Software Hardware Environment Liveware standard accident cau…

A Cybersecurity Risk Framework for Unmanned Aircraft Systems under Specific Category

The approach to extend the SORA methodology toward cybersecurity is introduced by extending the methodology to cover the privacy problem - an aspect related to cybersecurity and the supporting tool is introduced in the f…

A Unified Collision Risk Model for Unmanned Aircraft Systems

This paper proposes a novel risk management framework, and specifically a methodology to model UAS collision risk. The model inherently accounts for the performance of Communication, Navigation and Surveillance (CNS) sys…

Unmanned Aircraft System Airspace Structure and Safety Measures Based on Spatial Digital Twins

To explore the airspace structure and safety performance of unmanned aerial vehicle (UAV) system based on spatial digital twins (DTs), the study introduces DTs technology, and combines convolutional neural network (CNN) …

Statistical Properties and Airspace Capacity for Unmanned Aerial Vehicle Networks Subject to Sense-and-Avoid Safety Protocols

Reporting and Investigation of Unmanned Aircraft Systems (UAS) Accidents and Serious Incidents. Regulatory Perspective

Naturally, the ever-growing number of drone operations conducted worldwide carries with it an increase in the number of safety-related incidents and occurrences.

A Cognitive Walkthrough of Multiple Drone Delivery Operations

Advances of early twenty-first century aviation and transportation technologies provide opportunities for enhanced aerial projects, and the overall integration of unmanned aircraft systems (UAS) into the National Airspac…

Integration of a 4D-trajectory Follower to Improve Multi-UAV Conflict Management Within the U-Space Context

A novel method for multi-UAV conflict management at tactical level for large-scale scenarios is presented with a four dimensional trajectory follower based on the carrot chasing algorithm for 4D trajectory based operatio…

Towards a Service-Oriented U-Space Architecture for Autonomous Drone Operations

While the complexity of development and cost of Unmanned Aerial Systems (UAS) decrease, the use and market of UASs continuously increase.

Autonomous Flight Trajectory Control System for Drones in Smart City Traffic Management

With the exponential growth of numerous drone operations ranging from infrastructure monitoring to even package delivery services, the integration of UAS in the smart city transportation systems is an actual task that re…

Collision probability estimation for small unmanned aircraft systems

The simulation results testify that the selection of the collision zones affects the collision probability estimation apparently, especially when the crossing angle of the two sUAS is between 0° and 40°.

Human–Machine Interface Design for Monitoring Safety Risks Associated with Operating Small Unmanned Aircraft Systems in Urban Areas

The envisioned introduction of autonomous Small Unmanned Aircraft Systems (sUAS) into low-altitude urban airspace necessitates high levels of system safety.

Bibliometric analysis of human factors in aviation accident using MKD

This study aims to provide a better understanding of human factors and human performance mechanism in aviation accident analysis by visualisation and taxonomy analysis using mapping knowledge domain (MKD).

Machine Learning and Natural Language Processing for Prediction of Human Factors in Aviation Incident Reports

In the aviation sector, human factors are the primary cause of safety incidents. Intelligent prediction systems, which are capable of evaluating human state and managing risk, have been developed over the years to identi…