Journal articles: 'Automated flight'

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Осипов, Александр Андреевич. "ANALYSIS OF FACTORS AFFECTING FLIGHT SAFETY DURING THE DEVELOPMENT OF FLIGHT TASKS FOR TEST FLIGHTS." ПРОБЛЕМЫ БЕЗОПАСНОСТИ ПОЛЕТОВ, no. 9 (July 2, 2024): 3–11. http://dx.doi.org/10.36535/0235-5000-2023-09-1.

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В статье рассмотрены нормативные и организационноправовые меры обеспечения безопасности полетов, применяемые организациями, проводящими летные испытания. Сделаны выводы о влиянии качества проработки полетного задания на безопасность полетов при проведении летных испытаний. Предложена архитектура автоматизированной системы разработки полетного задания на испытательные полеты. Описаны способы ее практической реализации. Сделаны выводы о значимости автоматизированной разработки полетного задания при обеспечении безопасности испытательных полетов. The article discusses the regulatory and organizational-legal measures to ensure flight safety used by organizations conducting flight tests. Conclusions are drawn about the impact of the quality of flight task development on flight safety during flight tests. The architecture of an automated system for developing a flight task for test flights is proposed. The ways of its practical implementation are described. Conclusions are drawn about the importance of automated development of a flight task in ensuring the safety of test flights.

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MASIULIONIS, Tadas, Darius MINIOTAS, Darius RUDINSKAS, Ramūnas KIKUTIS, and Gabrielė MASIULIONIENĖ. "Application of automated trajectory design for pilot flight assessment during route flights." Aviation 21, no. 3 (2017): 75–82. http://dx.doi.org/10.3846/16487788.2017.1379440.

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Flight accuracy in the airspace is becoming an increasingly difficult issue due to the expanding number of aircraft operating in it. In order to meet the needs of all airspace users, aircraft flows are being increased, and different aircraft systems that minimise the risk of aircraft accidents are being developed to ensure flight safety. However, statistically, the impact of the human factor on aviation accidents and incidents remains high. This article focuses on the assessment of pilot flight accuracy during route flights and presents a methodology based on automated assessment tunnels for accurately assessing pilot flight deviations from a pre-set flight trajectory axis both on the horizontal and vertical plane.

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Prokhorov, M. A., A. Yu Tsvetkov, and A. A. Tolmachev. "Development of an automated system for deploying software for automated workstations of the spacecraft flight control center." Spacecrafts & Technologies 4, no. 1 (2020): 20–27. http://dx.doi.org/10.26732/j.st.2020.1.03.

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At present, the daily and combat activities of almost any army in the world are largely determined by the quality of information and space support. At the same time, the quality of support depends largely on the stability of the functioning of such unique technical facilities as spacecraft flight control centers. Based on the features of building new and upgrading existing flight control centers, their susceptibility to destructive information influences has been established. In this regard, the only way to guarantee the recovery of the information management system after information and technical impact was determined, namely, the complete redeployment of automated workplaces, including the reinstalling of operating systems, general software and special software. To ensure the efficiency of recovery of the system under consideration, the need to automate the deployment of software for automated workstations of the spacecraft flight control center was justified. The results of the analysis of existing approaches to software deployment have shown the need for implementation directly disrespecting methods. Based on this, the complex software deployment process was formalized, and the structure of the automated software deployment system for automated workstations of the spacecraft flight control center was proposed, the use of which will ensure the necessary level of stability in the implementation of technological cycles of spacecraft control in particular, and the quality of information and space support for troops in General.

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Griffin, Glenn R. "Evaluation of an Automated Series of Single and Multiple-Psychomotor and Dichotic Listening Tasks." Proceedings of the Human Factors Society Annual Meeting 32, no. 14 (1988): 812–16. http://dx.doi.org/10.1518/107118188786762144.

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A series of automated psychomotor and dichotic listening tasks, which require little administrative support and provide automatic scoring of performance, has been developed. The automated tasks account for additional variance in predicting Navy flight training performance beyond that of current selection tests.

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SHALAGINOVA, OLGA, ROMAN STAKHNO, and ARTEM GONCHAR. "DEVELOPMENT OF AN AUTOMATED INFORMATION SYSTEM FOR CALCULATING THE MOVEMENT OF A HIGH-SPEED SMALL-SIZED BODY." Computational Nanotechnology 9, no. 4 (2022): 22–29. http://dx.doi.org/10.33693/2313-223x-2022-9-4-22-29.

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The article presents a variant of the development of an automated information system for mathematical modeling of the movement of a high-speed small-sized body based on differential equations and approximation of the trajectory of a high-speed small-sized body by numerical methods, as well as a comparative analysis of various options for numerical solutions. The automated information system allows calculating the flight trajectory coordinates of a high-speed small-sized body based on a differential equation, as well as determining the flight trajectory coordinates by the Euler method, using the Newton interpolation polynomial and the Lagrange interpolation polynomial. In the article, a search for a suitable variant of numerical solutions is carried out, as well as calculations of the movement of a high-speed small-sized body under conditions of limited time for decision-making. The substantiation of the use of an automated information system to automate the calculation and analysis of the movement of a high-speed small-sized body is carried out. While designing an automated information system for calculating and analyzing the flight of a high-speed small-sized body, it is proposed to apply four modules for calculating the flight trajectory of a high-speed small-sized body by numerical methods and a module for comparative analysis and making the results of the optimal variant. The proposed automated information system should provide users with uninterrupted operation, a convenient interface, the required system response time to a request, and the creation of necessary reports. The reports should reflect all types of calculations, as well as a comparative analysis with the choice of the optimal option for calculating the flight path of a high-speed small-sized body. An automated information system is needed to improve the quality of calculations and analysis of movement in the development of new and modernization of existing small arms.

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Wilson, Justin C., Suku Nair, Sandro Scielzo, and Eric C. Larson. "Objective Measures of Cognitive Load Using Deep Multi-Modal Learning." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 1 (2021): 1–35. http://dx.doi.org/10.1145/3448111.

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The capability of measuring human performance objectively is hard to overstate, especially in the context of the instructor and student relationship within the process of learning. In this work, we investigate the automated classification of cognitive load leveraging the aviation domain as a surrogate for complex task workload induction. We use a mixed virtual and physical flight environment, given a suite of biometric sensors utilizing the HTC Vive Pro Eye and the E4 Empatica. We create and evaluate multiple models. And we have taken advantage of advancements in deep learning such as generative learning, multi-modal learning, multi-task learning, and x-vector architectures to classify multiple tasks across 40 subjects inclusive of three subject types --- pilots, operators, and novices. Our cognitive load model can automate the evaluation of cognitive load agnostic to subject, subject type, and flight maneuver (task) with an accuracy of over 80%. Further, this approach is validated with real-flight data from five test pilots collected over two test and evaluation flights on a C-17 aircraft.

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Mounika, K. Lakshmi, Dr Selvi S , and Dr T. Sethukarasi . "Real Time Flight Tracking Using Deep Learning and Blockchain Technology." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–9. https://doi.org/10.55041/ijsrem40315.

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This paper presents the design and implementation of a 3D Real-Time Flight Tracking and continues Updates System, incorporating deep learning and block-chain technology, aimed at providing live updates on flight status, delays, and cancellations. The system also sends automated notifications via SMS or email for flight status changes. By leveraging advanced technologies, the system ensures data integrity, security and scalability, making it suitable for the aviation industry’s future needs. The aviation industry relies heavily on accurate and timely flight tracking for safety and operational efficiency. Traditional Systems, while effective, often lack predictive capabilities and robust data security measures. This paper proposes a novel approach that integrates deep learning algorithms for secure and immutable data logging. By leveraging Automatic Dependent Surveillance-Broadcast (ADS-B) data, Our system enhances real-time flight tracking with higher accuracy and reliability. We present a comprehensive system development and testing framework, demonstrating the effectiveness of our approach in a simulated environment. solution for real-time flight tracking and updates. The innovative aspects of this system include the use of deep learning algorithms for accurate prediction of flight delays and cancellations based on real-time data from multiple sources, such as weather conditions, air traffic, and historical flight data. Block-chain technology is utilized to create a decentralized and tamper- proof ledger for recording flight data, ensuring the integrity and security of information shared among stakeholders, including airlines, airports. And passengers. Keywords ~ Real-time flight tracking, deep learning, block-chain, automated notifications, aviation technology, predictive analytics.

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Gülci, S., M. Akgül, A. E. Akay, and İ. Taş. "USING READY-TO-USE DRONE IMAGES in FORESTRY ACTIVITIES: CASE STUDY OF ÇINARPINAR in KAHRAMANMARAS, TURKEY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W6 (November 13, 2017): 51–53. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w6-51-2017.

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This short paper aims to present pros and cons of current usage of ready-to-use drone images in the field of forestry also considering flight planning and photogrammetric processes. The capabilities of DJI Phantom 4, which is the low cost drone producing by Dji company, was evaluated through sample flights in Cinarpinar Forest Enterprise Chief in Kahramanmaras in Turkey. In addition, the photogrammetric workflow of obtained images and automated flight were presented with respect to capabilities of available software. The flight plans were created by using Pix4DCapture software with android based cell phone. The results indicated that high-resolution imagery obtained by drone can provide significant data for assessment of forest resources, forest roads, and stream channels.

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Paik, David S., Christopher F. Beaulieu, R. Brooke Jeffrey, Geoffrey D. Rubin, and Sandy Napel. "Automated flight path planning for virtual endoscopy." Medical Physics 25, no. 5 (1998): 629–37. http://dx.doi.org/10.1118/1.598244.

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Szabolcsi, Róbert. "Modelling UAV Operators in Closed Loop Flight Control Systems." International conference KNOWLEDGE-BASED ORGANIZATION 29, no. 3 (2023): 99–106. http://dx.doi.org/10.2478/kbo-2023-0082.

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Abstract The semi-automated control systems include human operators accomplishing different tasks. The UAVs’ semi-automated control means a special ‘man-machine’ system. The UAV operators gaining real time information and leaning on experiences gained in the past will control the UAV. His knowledge and high level skills are required to conduct successfully any flight mission he was tasked for. Hence, to accomplish any regulation or tracking control problem, the UAV operator shall rely on his theoretical and practical skills to achieve goals of the UAV flights. Additionally, the UAV closed loop control system can be analysed leaning on mathematical models of the human operators. Different readiness of the UAV operators will ensure different efficiency of the UAV flight mission. This paper deals with UAV closed loop control system analysis when the pilot-in-the-loop (PiL) problem is addressed to show importance of use of different models of the UAV operators.

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Sineglazov, Victor, and Serhii Savchuk. "Planning a Flight Task System and the Principle of its Construction." Electronics and Control Systems 3, no. 73 (2022): 54–58. http://dx.doi.org/10.18372/1990-5548.73.17013.

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This work is devoted to the development of a system for automatic determination of the flight task for unmanned aerial vehicles. To implement such a system, the QT framework (a library of C++ classes and a set of tools for creating cross-platform applications) was used. It is proposed to introduce forecasting and routing modules into the system of automated determination of the flight task. An interface is developed for building a flight task that can be used to download, track key metrics from the unmanned aerial vehicles, and adjust the mission of the flight task. Advanced QT/Qml frameworks were used, which will allow the software product to be used on different operating systems, which will add flexibility in the use of system components.

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Soldatov, Aleksei Sergeevich, Sergei Vladimirovich Maslov, and Yurii Aleksandrovich Kukushkin. "Automated information system for testing helicopters equipped with night vision systems based on diagnostics of the functional state of the crew." Программные системы и вычислительные методы, no. 1 (January 2022): 55–70. http://dx.doi.org/10.7256/2454-0714.2022.1.24631.

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The subject of the study is the problem of ensuring optimal conditions for interaction between humans and aviation equipment in the interests of ensuring its safe operation, which has recently become more acute. Based on studies of the pilot's activity obtained during flight tests of helicopters equipped with night vision goggles, it is shown that the use of night vision goggles imposes special requirements on the organization of attention distribution, spatial orientation and is accompanied by an increase in the level of nervous and emotional tension. The main results of foreign developers on the improvement of night vision systems related to the introduction of technical vision systems on helicopters are described. It is proved that for an objective examination of such systems in flight tests, it is necessary to create a special automated information system. The developed automated information system provides the collection and processing of flight information during flight tests using intelligent sensors for monitoring and recording the biometrics of crew members and an image recognition system. It will allow recording, processing and accumulating flight and psychophysiological information in real test flights during the implementation of the entire flight test program, providing specialists in the field of aviation medicine and ergonomics with objective quantitative characteristics of the studied parameters when testing promising night vision systems of combat helicopters. It is shown that the introduction of modern information technologies into the process of testing aviation equipment allows objectively and with high accuracy to analyze and evaluate the content and psychophysiological structure of the pilot's activity based on a comparison of changes in flight parameters, the movement of controls, the direction of the pilot's gaze and his psychophysiological characteristics and recommend for practical use specific variants of night vision systems.

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Filyashkin, Мykola. "Two-circuit System of Automated Control of Low-Altitude Helicopter Flight." Electronics and Control Systems 1, no. 79 (2024): 75–80. http://dx.doi.org/10.18372/1990-5548.79.18446.

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The mode of automatic control of a low-altitude flight of a helicopter over heavily rugged terrain based on information about the inclined range is considered. It is shown that at high flight speeds it is impossible to overcome strictly vertical obstacles without changing the angle of inclination of the rangefinder antenna to the horizon depending on the flight speed, or without reducing the flight speed when approaching such an obstacle. Algorithms for controlling low-altitude flight using a two-channel scheme are proposed, namely, at high speeds through the longitudinal channel of the swashplate, and at low speeds – through the channel of the general pitch of the main rotor. The problem of optimal control of low-altitude helicopter flight is formulated, which can be presented as a variational problem with restrictions on phase coordinates and control influences. Ways to optimize the process of circumventing an obstacle with forecasting the trajectory of the helicopter on a certain section of the route with subsequent stabilization of the helicopter on this trajectory are shown.

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Rogalski, Tomasz. "Unmanned aircraft automatic flight control algorithm in loop manoeuvre." Aircraft Engineering and Aerospace Technology 90, no. 6 (2018): 877–84. http://dx.doi.org/10.1108/aeat-02-2018-0088.

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Purpose This paper aims to present the idea of an automatic control system dedicated to small manned and unmanned aircraft performing manoeuvres other than those necessary to perform a so-called standard flight. The character of these manoeuvres and the range of aircraft flight parameter changes restrict application of standard control algorithms. In many cases, they also limit the possibility to acquire complete information about aircraft flight parameters. This paper analyses an alternative solution that can be applied in such cases. The loop manoeuvre, an element of aerobatic flight, was selected as a working example. Design/methodology/approach This paper used theoretical discussion and breakdowns to create basics for designing structures of control algorithms. A simplified analytical approach was then applied to tune regulators. Research results were verified in a series of computer-based software-in-the-loop rig test computer simulations. Findings The structure of the control system enabling aerobatic flight was found and the method for tuning regulators was also created. Practical implications The findings could be a foundation for autopilots working in non-conventional flight scenarios and automatic aircraft recovery systems. Originality/value This paper presents the author’s original approach to aircraft automated control where high precision control is not the priority and flight parameters cannot be precisely measured or determined.

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Petitt, Karlene. "Structural Redesign of Pilot Training and the Automated Aircraft." International Journal of Aviation Systems, Operations and Training 4, no. 2 (2017): 32–44. http://dx.doi.org/10.4018/ijasot.2017070103.

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Flight skill loss due to the overuse of automation has become an industry concern. Aircraft accidents have been attributed to pilots' inability to manage their aircraft in manual flight resulting from unexpected changes in automation and loss of situation awareness. While aviation experts have associated these accidents to diminished stick and rudder skills from the overuse of automation, the problem may be attributed to how pilots are trained in automated aircraft. The FAA has encouraged pilots to manually fly to improve skills; however, limited opportunities for manual flight exist in the current international environment, with potentially less opportunities in the future due to NextGen compliance. A critical view of pilot training identifies how airlines could train pilots in modern day aircraft to maximize safety. The benefit of computer-based training to teach operating procedures, fixed based simulators versus level D full flight simulators, redesigning training programs to improve pilots' understanding through cognitive load theory, and the power of repetition will be addressed.

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Matzner, Shari, Valerie I. Cullinan, and Corey A. Duberstein. "Two-dimensional thermal video analysis of offshore bird and bat flight." Ecological Informatics 30 (June 12, 2015): 20–28. https://doi.org/10.5281/zenodo.13452202.

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(Uploaded by Plazi for the Bat Literature Project) Thermal infrared video can provide essential information about bird and bat activity for risk assessment studies, but the analysis of recorded video can be time-consuming and may not extract all of the available information. Automated processing makes continuous monitoring over extended periods of time feasible, and maximizes the information provided by video. This is especially important for collecting data in remote locations that are difficult for human observers to access, such as proposed offshore wind turbine sites. We developed new processing algorithms for single camera thermal video that automate the extraction of two-dimensional bird and bat flight tracks, and that characterize the extracted tracks to support animal identification and behavior inference. The algorithms consist of video peak store followed by background masking and perceptual grouping to extract flight tracks. The extracted tracks are automatically quantified in terms that could then be used to infer animal taxonomy and possibly behavior, as described in the companion article from Cullinan, et al. ["Classification of birds and bats using flight tracks." Ecological Informatics, 27:55–63]. The developed automated processing was evaluated using six video clips containing a total of 184 flight tracks. The detection rate was 81% and the false positive rate was 17%. In addition to describing the details of the algorithms, we suggest models for interpreting thermal imaging information.

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Matzner, Shari, Valerie I. Cullinan, and Corey A. Duberstein. "Two-dimensional thermal video analysis of offshore bird and bat flight." Ecological Informatics 30 (June 7, 2015): 20–28. https://doi.org/10.5281/zenodo.13452202.

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(Uploaded by Plazi for the Bat Literature Project) Thermal infrared video can provide essential information about bird and bat activity for risk assessment studies, but the analysis of recorded video can be time-consuming and may not extract all of the available information. Automated processing makes continuous monitoring over extended periods of time feasible, and maximizes the information provided by video. This is especially important for collecting data in remote locations that are difficult for human observers to access, such as proposed offshore wind turbine sites. We developed new processing algorithms for single camera thermal video that automate the extraction of two-dimensional bird and bat flight tracks, and that characterize the extracted tracks to support animal identification and behavior inference. The algorithms consist of video peak store followed by background masking and perceptual grouping to extract flight tracks. The extracted tracks are automatically quantified in terms that could then be used to infer animal taxonomy and possibly behavior, as described in the companion article from Cullinan, et al. ["Classification of birds and bats using flight tracks." Ecological Informatics, 27:55–63]. The developed automated processing was evaluated using six video clips containing a total of 184 flight tracks. The detection rate was 81% and the false positive rate was 17%. In addition to describing the details of the algorithms, we suggest models for interpreting thermal imaging information.

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Nikiforov, O. V., O. G. Dodonov, and V. G. Putyatin. "The use of information technologies in risk management for the flight safety of aviation." Mathematical machines and systems 1 (2021): 32–41. http://dx.doi.org/10.34121/1028-9763-2021-1-32-41.

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At present, the problem of ensuring the necessary level of state aviation flights safety in terms of hu-man and organizational factors is very urgent. Despite the ongoing measures aimed at expanding and strengthening control over the processes of aviation activity, flight incidents caused by insufficient reli-ability of personnel work and organizational errors continue to occupy leading positions. There is an in-sufficient efficiency of the flight safety management system to identify hazardous factors in their latent stage, which is necessary for the early prevention of accidents. The difficulty of timely identification of the aviation system dangerous states associated with these factors is due to the need to account, corre-late and analyze data of a very large dimension and multifacetedness. According to the authors, a suc-cessful solution to this problem is possible through the use of automated processing and cognitive com-bination of large heterogeneous information arrays based on centralized electronic systems for collect-ing, information and analytical processing and storage of information about the functioning of the avia-tion system, identified abnormal and dangerous conditions, and incidents that have already occurred. The article presents the concept of creating a promising automated flight safety management system for state aviation. The proposed system will make it possible to implement the principle of proactive detec-tion and prevention of hazardous factors and risks for flight safety, taking into account human and or-ganizational factors, based on the implementation of processes for centralized collection, generalization and analysis of big data on the state of the aviation system. Topical scientific tasks for the creation of a methodological basis for the development of special software for such an automated system have been formulated.

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YOSHIKAWA, Kohei, Taito Koeda, Toshiyuki NAKATA, and Hao LIU. "Flight performance of mosquitoes under wind disturbances revealed by automated flight recording system." Proceedings of the JSME Conference on Frontiers in Bioengineering 2022.33 (2022): 2C15. http://dx.doi.org/10.1299/jsmebiofro.2022.33.2c15.

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Lyons, Joseph B., Nhut T. Ho, Anna Lee Van Abel, et al. "Comparing Trust in Auto-GCAS Between Experienced and Novice Air Force Pilots." Ergonomics in Design: The Quarterly of Human Factors Applications 25, no. 4 (2017): 4–9. http://dx.doi.org/10.1177/1064804617716612.

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We examined F-16 pilots’ trust of the Automatic Ground Collision Avoidance System (Auto-GCAS), an automated system fielded on the F-16 to reduce the occurrence of controlled flight into terrain. We looked at the impact of experience (i.e., number of flight hours) as a predictor of trust perceptions and complacency potential among pilots. We expected that novice pilots would report higher trust and greater potential for complacency in relation to Auto-GCAS, which was shown to be partly true. Although novice pilots, compared with experienced pilots, reported equivalent trust perceptions, they also reported greater complacency potential.

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Salnik, Y. P., I. V. Matala, and Y. M. Pashuk. "Mini-UAV flight and payload automated control system." Military Technical Collection, no. 9 (November 9, 2013): 90–94. http://dx.doi.org/10.33577/2312-4458.9.2013.90-94.

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Loianno, Giuseppe, Gareth Cross, Chao Qu, Yash Mulgaonkar, Joel A. Hesch, and Vijay Kumar. "Flying Smartphones: Automated Flight Enabled by Consumer Electronics." IEEE Robotics & Automation Magazine 22, no. 2 (2015): 24–32. http://dx.doi.org/10.1109/mra.2014.2382792.

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van den Eijkel, S. J., A. Landman, M. M. (René) van Paassen, O. Stroosma, and M. Mulder. "Pilot problem detection during manual and automated flight." Transportation Research Procedia 88 (2025): 112–18. https://doi.org/10.1016/j.trpro.2025.05.014.

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Hauschild, André, Markus Markgraf, Oliver Montenbruck, et al. "Results of the GNSS receiver experiment OCAM-G on Ariane-5 flight VA 219." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, no. 6 (2016): 1100–1114. http://dx.doi.org/10.1177/0954410016648351.

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The fifth Automated Transfer Vehicle was launched on 29 July 2014 with Ariane-5 flight VA 219 into orbit from Kourou, French Guiana. For the first time, the ascent of an Ariane rocket was independently tracked with a Global Navigation Satellite System (GNSS) receiver on this flight. The GNSS receiver experiment OCAM-G was mounted on the upper stage of the rocket. Its receivers tracked the trajectory of the Ariane-5 from lift-off until after the separation of the Automated Transfer Vehicle. This article introduces the design of the experiment and presents an analysis of the data gathered during the flight with respect to the GNSS tracking status, availability of navigation solution, and navigation accuracy.

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Liu, Hengyi, Guoji Zou, and Bin Meng. "Construction of High Dynamic Flight Closed-loop Simulation System." Journal of Physics: Conference Series 2403, no. 1 (2022): 012034. http://dx.doi.org/10.1088/1742-6596/2403/1/012034.

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Abstract In this study, a high dynamic flight closed-loop simulation system was designed and based on the flight characteristics of flight combat systems (missiles, fighters, etc.), the real-time simulation of 6DoF (six degrees of freedom) flight parameters such as position, velocity, acceleration, and attitude of typical flight combat system models in high dynamic flight was implemented. The proposed system, together with the high dynamic Beidou RNSS signal simulator and automated test and evaluation device, forms the high dynamic positioning test platform of the flight simulation system and realizes the closed-loop simulation test and verification of the navigation device of the high dynamic flight combat system.

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Soni, Akash, and Dr M. N. Nachappa. "Cinematography Drone with Automated Ability for Self-flight and Maneuverability." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 1874–88. http://dx.doi.org/10.22214/ijraset.2022.41671.

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Abstract: Unmanned Aerial Vehicles or UAVs are an amazing piece of machinery that have proven their usefulness in various industries like construction, military, logistics, filmmaking, etc. They’re either operated remotely by a human controller from the ground or have automated capabilities to control its own flight. But due to several technological and environmental restrictions there are many models that can guarantee complete autonomous behavior of the drone. For being truly autonomous, UAVs will need to get far better at sensing its surroundings and obstacles to decide its own path and react in time to avoid collisions. This project specifically aims at enhancing the drones used in the tourism sector for the betterment of traveling experience of people by automating the process of capturing their experience along with autonomous flight capabilities. ML enabled cinematography drones to tackle the gap in the market where good camera drones are unavailable at a lower price point with an added benefit of hands-free automated flight patterns to capture cinematic shots. We have tried to achieve this milestone by using sensors that can detect the surrounding obstacles in real-time and manipulate its flight path to capture cinematic shots of the target object. Through the project we’re also automating various shots like hover, 360 degree view, follow at focus, etc that the drone will include into its flight path on the go. Operating an unmanned flying machine is very challenging especially when you’re flying the drone out of your line of sight and detecting objects using just one FPV camera or monitoring several cameras at the same time is not humanly possible. Hence, through this project we’re not only allowing travellers to enjoy their journey but also take videos of places they can’t reach without having to worry about losing or crashing their drones. There can be further research on this flying model to inculcate it for various industries as the flying pattern and requirement changes in each sector. Keywords: UAV (Unmanned Aerial Vehicle), Drone, Cinematography, ML, FPV, Automated flight

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O’Heir, Jeff. "New Manufacturing Takes Flight." Mechanical Engineering 141, no. 02 (2019): 28–33. http://dx.doi.org/10.1115/1.2019-feb1.

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Pratt & Whitney’s Industry 4.0 initiative marks a major transformation from the labor-intensive manual processes that once defined manufacturing to those that are now digitized and automated. The changes here helped P&W improve key metrics—production volume, quality assurance, labor reduction, cycle time, to name a few—by up to 65 percent. This article takes a closer look at how companies not only have to update the types of machines and systems they use to remain competitive, but they also have to change the way they recruit, hire, and train the engineers and technicians who work on them.

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Stokes, Alan F., Marie T. Banich, Valorie C. Elledge, and Ying Ke. "Evaluation of Cognitive Function in Aviators." Proceedings of the Human Factors Society Annual Meeting 32, no. 16 (1988): 1011–15. http://dx.doi.org/10.1177/154193128803201604.

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The FAA is concerned that flight-safety could be compromised by undetected cognitive impairment in pilots due to conditions such as substance abuse, mental illness and neuropsychological problems. Interest has been shown in the possibility of adding a brief “mini mental exam”, or a simple automated test-battery to the standard flight medical to screen for such conditions. This paper reports an empirical evaluation of four such tests, focusing upon a prototype version of an automated screening battery, SPARTANS (Simple Portable Aviation Relevant Test-battery and Answer-scoring System).

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Chausov, Evgenii Viktorovich, and Andrey Sergeevich Molchanov. "Mathematical means and software for digital image processing when evaluating the linear resolution of aerial photographic systems." Кибернетика и программирование, no. 1 (January 2020): 42–52. http://dx.doi.org/10.25136/2644-5522.2020.1.32974.

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The authors consider the issues of evaluating digital aerial photographic systems based on the modulation transfer function. Special attention is paid to the issues of synthesis of mathematical and software for processing digital images when evaluating the linear resolution of aerial photographic systems. The basis of the mathematical support is the original method for evaluating the linear resolution on the ground using the modulation transfer function, taking into account the results of the flight experiment. The software is implemented in an automated complex for image processing of digital aerial photographic systems, which automatically calculates the modulation transfer function based on the results of the flight experiment. The research methodology combines methods of systems analysis, digital image processing, probability theory, mathematical modeling and software engineering. The main conclusion of the study, confirmed by the results of determining the experimental function of modulation transfer using an automated image processing complex based on images obtained during flight tests of a digital camera of the complex from the Orlan-10 unmanned aerial vehicle, is to confirm the operability of the developed automated complex for digital image processing, which makes it possible to use it to estimate the linear resolution on the ground during flight tests of aerial photographic systems of aerial reconnaissance and surveillance.

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Ferraro, James, Naomi Christy, and Mustapha Mouloua. "Impact of Auditory Interference on Automated Task Monitoring and Workload." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 1136–40. http://dx.doi.org/10.1177/1541931213601768.

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The purpose of this research was to explore the effects of auditory distraction and criticality on pilots’ flight accuracy and workload, along with attention allocation with different reliability levels on the Multi- Attribute Task Battery II (MATB-II) simulator. The MATB-II involves attending to multiple systems and correcting errors made by the automation, which will be presented at multiple levels of reliability (50%, 70%, 90%) and distractor tasks. The presence of a complex communication task before or concurrent with the main task negatively impacts accuracy of automation failure detection (Stader, 2014). It was hypothesized that reliability level, as well as the presence of an auditory distractor task would affect human monitoring performance and workload. The data indicated distraction could affect the accuracy of pilot’s multi-tasking abilities, as well as flight pattern proficiencies and workload. This information would be applicable to cockpit protocol and ensure a more efficient flight.

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Lugovoi, V. G., A. V. Sorokin, and O. V. Shilov. "FUEL PLANNING PROBLEMS FOR FLIGHTS, PLANNED VIA STANDARD ARRIVAL ROUTES (STAR) WITH DELAY LEGS." Civil Aviation High TECHNOLOGIES 22, no. 2 (2019): 28–37. http://dx.doi.org/10.26467/2079-0619-2019-22-2-28-37.

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The article deals with the fuel planning problems for flights planned via standard arrival routes (STAR), with delay legs. Implementation of new standard arrival routes based on area navigation principles leads to increasing airspace capacity and reducing workload for both flight crews and air traffic controllers. More and more air navigation service providers implement modern STARs which include delay legs as their components. Delay legs are being used as modern alternative to delay actions performed with short time holding patterns or radar vectoring procedures. But, new STAR types’ implementation without changing fuel planning procedures has led to fuel consumption increase. The nature of problem is shown in the article with reference to recently designed, published and implemented Pulkovo airport new standard arrival routes with delay legs. The calculations made with the use of automated flight planning systems and shown extra fuel consumption are given. Contributing negative factors are described. Suggested methods of solving the problems allow avoiding extra fuel consumption and reducing pollution. The procedure for using the new approach to planning and performing flight via STARs with delay legs is described. Implementation of the new approach in arrival trajectory design, flight planning and flight performance via standard arrival routes with delay legs is actual for the existing arrival routes and the routes being projected.

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Gribkovskaia, Irina, and Gaute Øiestad Slettemark. "Tactical Helicopter Transportation Planning for Offshore Personnel on the Norwegian Continental Shelf." Logistics 9, no. 2 (2025): 73. https://doi.org/10.3390/logistics9020073.

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Background: In offshore energy logistics, contracted helicopters frequently transport personnel to and from offshore installations. Regular and efficient transportation is vital to maintain planned activities at the installations. We focus on tactical helicopter planning from a single heliport for a period of stable weekly transport demands in a heliport operating area on the Norwegian Continental Shelf (NCS). This results in the construction of a repetitive weekly flight program, integrating the selection of helicopter resources optimally matching demand with the generation of a weekly timetable of flights assigning them to start times. The purpose of our research is to develop optimisation-based weekly flight program planning algorithms for energy companies operating on the NCS. Methods: We present a developed two-step solution method sequentially generating possible flights and solving a flight-based integer programming model, and an iterative algorithm based on the decomposition of the flight-based model for the construction of cost-optimal weekly flight programs. Results: The developed algorithms were validated on the real instances from Equinor, the largest NCS energy operator. The decomposition-based algorithm was able to solve to optimality all tested instances, with up to 20 installations served from the heliport within less than 9 min. Conclusions: Equinor logistics planners have tested and verified that the developed flight-based model satisfies the goals and planning policies imposed on the NCS for integrated tactical helicopter planning. Considering the advantages of the decomposition-based algorithm performance in solution quality and speed, energy companies on the NCS find it well-suited as a solution engine in the highly demanded automated decision support tools for tactical helicopter transportation planning.

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Rees, Nigel, Jeremy Howitt, Nigel Breyley, Phil Geoghegan, and Carl Powel. "A simulation study of drone delivery of Automated External Defibrillator (AED) in Out of Hospital Cardiac Arrest (OHCA) in the UK." PLOS ONE 16, no. 11 (2021): e0259555. http://dx.doi.org/10.1371/journal.pone.0259555.

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Background Drones are increasingly used in healthcare, and feasibility studies of deployment of Automated External Defibrillators (AED) in Out-of-hospital cardiac arrest (OHCA) have been conducted. Despite the potential contribution of drones to healthcare, regulatory barriers exist, including limits on flights beyond visual line-of-sight (BVLOS). The aim of this project was to deliver an AED BVLOS in Wales. Methods We developed of a Concept of Operations (CONOPS) to identify requirements, constraints, organisation and roles and responsibilities associated with deploying a drone to deliver an AED BVLOS. We equipped a Penguin B drone with satellite-enabled technology to enhance situational awareness and safety for the remote pilot. A BVLOS Operating Safety Case and three-week flight test programme was conducted with an AED attached directly to parachute for deployment to simulated OHCA. Results We completed six flights totalling 92km, 1:02.5 hours of flight time and four successful parachute payload drops. We conducted a successful end-to-end flight demonstration of an AED delivered via BVLOS by drone to a simulated OHCA and resuscitation by lay responder’s in a remote location; the final delivery of 4.5km was completed in 2:50 minutes. Conclusion We have delivered an AED by parachute, from fixed wing drone BVLOS in the UK in simulated OHCA. This project adds to the body of knowledge required for regulatory assurance on drone use BVLOS. Further research is needed before routine use of this technology.

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Prado, Alberto, Fabrice Requier, Didier Crauser, Yves Le Conte, Vincent Bretagnolle, and Cédric Alaux. "Honeybee lifespan: the critical role of pre-foraging stage." Royal Society Open Science 7, no. 11 (2020): 200998. http://dx.doi.org/10.1098/rsos.200998.

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Assessing the various anthropogenic pressures imposed on honeybees requires characterizing the patterns and drivers of natural mortality. Using automated lifelong individual monitoring devices, we monitored worker bees in different geographical, seasonal and colony contexts creating a broad range of hive conditions. We measured their life-history traits and notably assessed whether lifespan is influenced by pre-foraging flight experience. Our results show that the age at the first flight and onset of foraging are critical factors that determine, to a large extent, lifespan. Most importantly, our results indicate that a large proportion (40%) of the bees die during pre-foraging stage, and for those surviving, the elapsed time and flight experience between the first flight and the onset of foraging is of paramount importance to maximize the number of days spent foraging. Once in the foraging stage, individuals experience a constant mortality risk of 9% and 36% per hour of foraging and per foraging day, respectively. In conclusion, the pre-foraging stage during which bees perform orientation flights is a critical driver of bee lifespan. We believe these data on the natural mortality risks in honeybee workers will help assess the impact of anthropogenic pressures on bees.

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Cheng, Victor H. L., and Benavar Sridhar. "Considerations for Automated Nap‐of‐the‐Earth Rotorcraft Flight." Journal of the American Helicopter Society 36, no. 2 (1991): 61–69. http://dx.doi.org/10.4050/jahs.36.61.

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Brown, Aaron Michael, Jon C. Rittenberger, Charles M. Ammon, Scott Harrington, and Francis X. Guyette. "In-Flight Automated External Defibrillator Use and Consultation Patterns." Prehospital Emergency Care 14, no. 2 (2010): 235–39. http://dx.doi.org/10.3109/10903120903572319.

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Tang, Hualong, Yu Zhang, Vahid Mohmoodian, and Hadi Charkhgard. "Automated flight planning of high-density urban air mobility." Transportation Research Part C: Emerging Technologies 131 (October 2021): 103324. http://dx.doi.org/10.1016/j.trc.2021.103324.

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Bolliger, Janine, Marco Collet, Michael Hohl, and Martin K. Obrist. "Automated flight-interception traps for interval sampling of insects." PLOS ONE 15, no. 7 (2020): e0229476. http://dx.doi.org/10.1371/journal.pone.0229476.

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Knecht, William. "Requirements for Automated Collision-Avoidance Systems for Free Flight." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 1 (1998): 42–46. http://dx.doi.org/10.1177/154193129804200111.

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Advanced displays of traffic information will be required by pilots and air traffic controllers to cope with the problems of free flight. The development of these displays should be human-centered, and should be guided by what we have learned about collision avoidance.

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Romahn, S., and D. Schäfer. "Automated Classification of Pilot Errors in Flight Management Operations." IFAC Proceedings Volumes 28, no. 15 (1995): 137–42. http://dx.doi.org/10.1016/s1474-6670(17)45222-0.

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Thornton, Coleen, Curt Braun, Clint Bowers, and Ben B. Morgan. "Automation Effects in the Cockpit: A Low-Fidelity Investigation." Proceedings of the Human Factors Society Annual Meeting 36, no. 1 (1992): 30–34. http://dx.doi.org/10.1177/154193129203600109.

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The effects of automation and task difficulty on flight performance, subjective and objective workload, and a problem solving task were investigated in a low fidelity flight simulator. Forty-eight, two-person crews flew two forty-five minute scenarios that required the crew to select and obtain relief supplies for delivery to a disaster site. Two levels of automation (i.e., presence or absence of an autopilot) and two levels of task difficulty (i.e., presence or absence of wind and turbulence) were combined to yield a 2 × 2 design. Twenty-four crews performed in both levels of automation and one level of task difficulty. Results indicated that although crews in the automated condition reported less subjective workload, only one of the three measures of flight performance was affected by automation. In contrast, objective workload, as measured by performance of a secondary task, was increased for the pilot in the automated condition. In addition, under high task difficulty, problem solving was worse m the automated condition than in the manual condition. The results are discussed in terms of their support of earlier hypothesized effects of automation in the cockpit.

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Meng, Guang Lei. "Control Architecture and Control Laws Design for Multiple UAVs Formation Flight." Applied Mechanics and Materials 246-247 (December 2012): 853–57. http://dx.doi.org/10.4028/www.scientific.net/amm.246-247.853.

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An autonomous formation-flight method for multiple UAVs (Unmanned Aerial Vehicle) was designed. First the mathematical representation of formation shape was analyzed. Then the control architecture was devised for multiple UAVs formation flight based on finite state machine. The flight states of the wing UAV were built through the formation flight and the transformation relationships of these flight states were defined. So the automated transformation among these flight states could be achieved and the intelligence of the pilots could be mimicked by this way. Aiming at the typical flight state which is capable of maintaining the formation shape, the control laws were contrived for the wing UAVs. Finally, two nonlinear fighter models which have 6 degrees of freedom were selected to carry out autonomous formation-flight experiments. And the results show the control laws designed for maintaining the formation shape are valid.

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Gajek, Stanisław. "Automation of Aircraft Fatigue Life Estimation." Fatigue of Aircraft Structures 2022, no. 14 (2022): 83–103. http://dx.doi.org/10.2478/fas-2022-0007.

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Abstract The fatigue is an important factor in aircraft operation. A correct estimation of structure fatigue life is crucial for user and payload safety. However, due to high amount of data gathered during a typical recording of load spectra for different types of flights, the overall results become prone to human error. The paper describes development of a software able to perform an automated, in-depth analysis of data recorded with onboard accelerometers. Using the Rainflow Cycle Counting method, it transforms received data points into a Markov matrix. The prepared array is then recalculated into a half-cycle matrix, which can be collapsed into scalar value of fatigue level using the Palmgren-Miner rule. The method was tested with loads recorded during a typical flight conducted according to the Polish NSTS-06 flight scenario and simulated camera mounting fixed to a multirotor.

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Koronkov, Sergei Olegovich. "Methodology of automated study of the workload of a helicopter pilot." Программные системы и вычислительные методы, no. 4 (April 2022): 63–74. http://dx.doi.org/10.7256/2454-0714.2022.4.36459.

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The subject of the study is the contradiction between the need to conduct a study of the workload of helicopter pilots and the lack of methods regulated by regulatory and technical documents to ensure that such studies are carried out during the testing of new aircraft. The purpose of the study was to ensure the possibility of objectification of the pilot's workload during testing of modernized and created helicopter models, as well as in the process of flight simulator training. The author examines in detail such aspects of the topic as the development of a pilot workload research program; the completion of a helicopter by installing a set of technical means for studying attention reserves; determining the pilot's workload; determining the integral indicator of the pilot's workload and drawing up a conclusion based on the results of the workload study. The main conclusion of the conducted theoretical and experimental research is that the developed methodology for studying the workload of a helicopter pilot, based on determining the reserves of his attention when performing professional activities, provides an adequate definition of the workload when performing helicopter tests on semi-natural modeling complexes and during flight simulator training. The results of verification and research of the effectiveness of the developed solutions have shown that the objectification of the pilot's workload during helicopter testing provides an opportunity to substantiate industry recommendations on the refinement and improvement of the layout of helicopter cabins, to rationalize the points of the flight part of the test program and to intensify the process of professional training of flight personnel.

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Freimuth, Henk, and Markus König. "A Framework for Automated Acquisition and Processing of As-Built Data with Autonomous Unmanned Aerial Vehicles." Sensors 19, no. 20 (2019): 4513. http://dx.doi.org/10.3390/s19204513.

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Planning and scheduling in construction heavily depend on current information about the state of construction processes. However, the acquisition process for visual data requires human personnel to take photographs of construction objects. We propose using unmanned aerial vehicle (UAVs) for automated creation of images and point cloud data of particular construction objects. The method extracts locations of objects that require inspection from Four Dimensional Building Information Modelling (4D-BIM). With this information at hand viable flight missions around the known structures of the construction site are computed. During flight, the UAV uses stereo cameras to detect and avoid any obstacles that are not known to the model, for example moving humans or machinery. The combination of pre-computed waypoint missions and reactive avoidance ensures deterministic routing from takeoff to landing and operational safety for humans and machines. During flight, an additional software component compares the captured point cloud data with the model data, enabling automatic per-object completion checking or reconstruction. The prototype is developed in the Robot Operating System (ROS) and evaluated in Software-In-The-Loop (SITL) simulations for the sake of being executable on real UAVs.

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Ren, Liqiang, Haipeng Wang, Xinlong Pan, Shuyi Jia, and Bing Wan. "Quantitative Evaluation Method for Anomaly Levels of Complex Flight Maneuver Based on Multi-sensor Data." Chinese Journal of Information Fusion 2, no. 1 (2025): 14–26. https://doi.org/10.62762/cjif.2024.344084.

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The methods that identify complex flight maneuvers from multi-sensor flight parameter data and conduct automated quantitative evaluations of anomaly levels could play an important role in enhancing flight safety and pilot training. However, existing methods focus on anomaly detection at individual flight parameter data points, making it challenging to accurately quantify the overall abnormality of a flight maneuver. To address this issue, this paper proposes a novel method for the quantitative evaluation of anomaly levels in complex flight maneuvers by fusing multi-sensor data. The proposed method comprises two stages: complex flight maneuver recognition and anomaly level quantification. In the complex flight maneuver recognition stage, a one-dimensional dual attention mechanism (1D-DAM) is introduced to capture discriminative features in both the temporal and variable dimensions. Based on this mechanism, we develop a one-dimensional dual attention mechanism ResNet (1D-DAMResNet) model to achieve the recognition of complex flight maneuvers. Subsequently, in the anomaly level quantification stage, we employ a clustering technique to establish a standard maneuver benchmark library, which serves as a reference for the flight maneuver evaluations of different categories. According to the results of flight maneuver recognition, the corresponding category of standard maneuver from the library is automatically selected, and the dynamic time warping algorithm is then utilized to compute the anomaly quantification score of the test maneuver, thereby determining its anomaly level. Compared to contrastive methods, the proposed complex flight maneuver recognition model demonstrates significant advantages in both accuracy and stability, with an average precision, recall, and F1 scores of 99.75%. Additionally, the proposed anomaly level quantification method provides an automatic quantification of the overall anomaly level of maneuvers, and the results are highly interpretable. Overall, this paper introduces a novel approach for the quantitative evaluation of anomaly levels in maneuvers, which not only contributes to improving the accuracy of flight training evaluation but also significantly enhances the efficiency and quality of flight training.

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White, C. T., A. Petrasova, W. Reckling, and H. Mitasova. "AUTOMATED LAND COVER CHANGE DETECTION THROUGH RAPID UAS UPDATES OF DIGITAL SURFACE MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W11 (February 14, 2020): 155–59. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w11-155-2020.

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Abstract. Up to date geospatial data provide the foundation for the development of smart and connected communities. While high-resolution 2D imagery is becoming widely available at less than monthly intervals and several infrastructure layers (e.g., roads, building footprints) are updated on a continuous basis, digital surface models (DSM) are generated less frequently and become quickly obsolete in rapidly developing regions. We present a methodology for continuous and efficient updates of DSM based on automated change detection from high-resolution satellite imagery that is used to develop UAS deployment plan, data acquisition, and DSM generation for targeted areas. The resulting UAS-derived DSM is then seamlessly fused with existing (usually lidar-based) DSM. We demonstrate our methodology in a rapidly developing watershed in the Triangle Region, North Carolina. The change detection maps were created using pixel-based classification methods on monthly composite data generated from PlanetScope satellites (3m resolution) as input for UAS flight planning, data acquisition, and processing. In future work a GRASS GIS script using a moving window resampling process will create flight areas to resample the change detection output into 10 acres flight areas for the UAS flight planning software, and a plugin for WebODM will be developed using GRASS GIS to enable seamless updates to centralized repositories of DSM.

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Bohn, K. M., and E. H. Gillam. "In-flight social calls: a primer for biologists and managers studying echolocation." Canadian Journal of Zoology 96, no. 8 (2018): 787–800. http://dx.doi.org/10.1139/cjz-2017-0188.

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Recent technological advances have permitted collection of immense data sets through automated recordings that are primarily aimed at capturing bat echolocation. Analyses of echolocation calls are used to identify species, relative abundance, and some aspects of behaviour, such as foraging or commuting. Here we propose that social calls recorded in flight are also valuable tools for understanding bat ecology and behaviour. First, we examine how and why the acoustic structure of social calls differ from echolocation. Differences in form make social calls often, but not always, easy to identify. We then use a case study on in-flight song in Brazilian free-tailed bat (Tadarida brasiliensis (I. Geoffroy, 1824)) to show that what may appear as echolocation may instead be predominantly used for social communication. Next, we review three basic functions of in-flight social calls, including examples of each, and develop a framework for testing these alternative functions using automated recordings. In a second case study, we use automated recordings of the endangered Florida bonneted bat (Eumops floridanus (G.M. Allen, 1932)) to illustrate how behavioural information can be gleaned by examining patterns of social call production. Finally, we discuss why and how social calls provide novel information that can be crucial for conservation and management efforts.

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Shull, Ronald N., and Daniel L. Dolgin. "Personality and Flight Training Performance." Proceedings of the Human Factors Society Annual Meeting 33, no. 14 (1989): 891–95. http://dx.doi.org/10.1177/154193128903301406.

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Current naval aircrew selection research typically focuses on psychomotor and cognitive abilities, but evidence from flight training attrition studies suggests that many failures may be due to personality/motivational factors. This study concerns the relationships found between elements of primary flight training performance and the results of two automated personality assessment instruments: a risk test and a pilot personality questionnaire. Both risk test measures correlated significantly with a simple pass/fail index but not with actual flight grades for either student pilots or flight officers. Several of the pilot personality scales correlated significantly with various flight training criteria but many of these were also not orthogonal to measures of the current Navy/Marine Corps aviation selection test battery, while both risk test measures were.

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Mohrmann, Frederik, Arjan Lemmers, and John Stoop. "Investigating Flight Crew Recovery Capabilities Regarding System Failures in Highly Automated Fourth Generation Aircraft." Aviation Psychology and Applied Human Factors 5, no. 2 (2015): 71–82. http://dx.doi.org/10.1027/2192-0923/a000079.

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Abstract. This project aimed to understand rapid crew transitions from a monitoring to a decision-making role, when asserting manual control of aircraft subsystems. Ten crews unknowingly flew a semicritical failure scenario in a full flight simulator, forcing several crew decision moments. Observations of automation-related (diagnostic) behavior were correlated with respective flight performance, revealing that specific competencies (related to knowledge, procedures, attitude toward automation, and teamwork) with automated systems led to significant performance gains. More importantly, the absence of these behaviors severely deteriorated performance and should not be underestimated in its potency to affect flight safety. These findings may form a foundation for developing and evaluating near-future innovations in training, operations, and automation design, which could prove critical toward improving future accident rates.

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Journal articles on the topic 'Automated flight'

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