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Journal articles on the topic 'Automatic Aircraft Recognition System'

Author: Grafiati

Published: 11 September 2023

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1

Jia, Jiaqi, and Haibin Duan. "Automatic target recognition system for unmanned aerial vehicle via backpropagation artificial neural network." Aircraft Engineering and Aerospace Technology 89, no. 1 (2017): 145–54. http://dx.doi.org/10.1108/aeat-07-2015-0171.

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Purpose The purpose of this paper is to propose a novel target automatic recognition method for unmanned aerial vehicle (UAV), which is based on backpropagation – artificial neural network (BP-ANN) algorithm, with the objective of optimizing the structure of backpropagation network, to increase the efficiency and decrease the recognition time. A hardware-in-the-loop system for UAV target automatic recognition is also developed. Design/methodology/approach The hybrid model of BP-ANN structure is established for aircraft automatic target recognition. This proposed method identifies controller pa

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Bobin, A. V., V. A. Azarov, S. A. Bulgakov, and D. A. Savin. "Technique for recognition of aircrafts and radar traps in the control circuit of airspace control system based on neural network technology." Izvestiya MGTU MAMI 7, no. 1-4 (2013): 124–30. http://dx.doi.org/10.17816/2074-0530-67843.

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The paper proposes a method for building of automatic recognizers of aircrafts on a set of radar measurements based on the cascade of multilayer feedforward neural networks. The practical application of this technique in recognizing of three types of aircraft is presented as well.

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Silva Filho, P., E. H. Shiguemori, and O. Saotome. "UAV VISUAL AUTOLOCALIZATON BASED ON AUTOMATIC LANDMARK RECOGNITION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W3 (August 18, 2017): 89–94. http://dx.doi.org/10.5194/isprs-annals-iv-2-w3-89-2017.

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Deploying an autonomous unmanned aerial vehicle in GPS-denied areas is a highly discussed problem in the scientific community. There are several approaches being developed, but the main strategies yet considered are computer vision based navigation systems. This work presents a new real-time computer-vision position estimator for UAV navigation. The estimator uses images captured during flight to recognize specific, well-known, landmarks in order to estimate the latitude and longitude of the aircraft. The method was tested in a simulated environment, using a dataset of real aerial images obtai

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Roopa, K., T. V. Rama Murthy, and P. Cyril Prasanna Raj. "Neural Network Classifier for Fighter Aircraft Model Recognition." Journal of Intelligent Systems 27, no. 3 (2018): 447–63. http://dx.doi.org/10.1515/jisys-2016-0087.

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Abstract Fighter aircraft recognition is important in military applications to make strategic decisions. The complexity lies in correctly identifying the unknown aircraft irrespective of its orientations. The work reported here is a research initiative in this regard. The database used here was obtained by using rapid prototyped physical models of four classes of fighter aircraft: P51 Mustang, G1-Fokker, MiG25-F, and Mirage 2000. The image database was divided into the training set and test set. Two feature sets, Feature Set1 (FS1) and FS2, were extracted for the images. FS1 consisted of 15 ge

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Сафтли, Ф. Х. А., and С. Т. Баланян. "Methodology for assessing the control system of aircraft weapons in the process of aiming controlled aircraft weapons equipped with optelectronic homing heads." Vestnik of Russian New University. Series «Complex systems: models, analysis, management», no. 1 (March 23, 2022): 64–75. http://dx.doi.org/10.18137/rnu.v9187.22.01.p.064.

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Рассматривается повышение эффективности боевого применения управляемой авиационной ракеты класса «воздух – поверхность» по полученным целеуказаниям с беспилотного летательного аппарата, позволяющее на больших расстояниях автоматически решать задачи поиска, обнаружения и распознавания целей в условиях реального масштаба времени при сложной фоноцелевой обстановке в зоне боевых действий, тем самым уменьшая риск попадания самолета-носителя в зону действия ПВО противника. Разработана оптимизированная архитектура сверточной нейронной сети для сегментации изображений и распознавания наземных целей в

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Zhang, Li Ping, Chao Wang, Hong Zhang, and Bo Zhang. "Aircraft Type Recognition in High-Resolution SAR Images Using Multi-Scale Autoconvolution." Key Engineering Materials 439-440 (June 2010): 1475–80. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.1475.

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Automatic target recognition is the key stage of SAR image interpretation system and has been taking a great interest to the researchers in recent years. Aiming at the issue of aircraft type recognition in high-resolution SAR images, a novel method based on multi-scale autoconvolution (MSA) affine invariant moment is proposed. First, the texture analysis and clustering method are used to segment the SAR images and then the denoising algorithm and morphological processing are applied to segmented results. Second, 29 MSA features are extracted and form a feature vector to represent the target, t

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Bohouta, Gamal. "Automatic speech recognition for unmanned aerial vehicles." Journal of the Acoustical Society of America 152, no. 4 (2022): A98. http://dx.doi.org/10.1121/10.0015671.

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Unmanned aerial vehicles (UAVs), also known as unmanned aerial systems (UASs), are quickly becoming a ubiquitous technology, poised to enter some key large-scale markets in the very near future. Fleets of such vehicles will be required in these large-scale deployments for commercial, industrial, and emergency response, along with the ability to efficiently control these fleets. Voice control and communication between human operators and these fleets will become imperative. This paper explores the framework for building an automatic speech recognition (ASR) use to the control of unmanned aerial

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Shabelnik, Tetyana, Serhii Krivenko, and Olena Koneva. "AUTOMATIC PILOT SYSTEM FOR UNMANNED OF AIRCRAFT IN THE ABSENCE OF RADIO COMMUNICATION." Cybersecurity: Education, Science, Technique 1, no. 9 (2020): 93–103. http://dx.doi.org/10.28925/2663-4023.2020.9.93103.

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One of the most pressing problems of piloting unmanned aerial vehicles (UAV) in the absence of radio communication is considered in the article. Therefore, the aim of the article is to develop an algorithm and method of automatic piloting of UAV in terms of loss of radio control signal using the methods of technical vision. The most effective methods of tracking, identification and detection of landmarks are based on the comparison of reference information (database of known navigation objects) with the observation scene in real time.Working system of automatic piloting of UAVs in the conditio

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Kniaz, V. V. "A Fast Recognition Algorithm for Detection of Foreign 3D Objects on a Runway." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3 (August 11, 2014): 151–56. http://dx.doi.org/10.5194/isprsarchives-xl-3-151-2014.

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!The systems for detection of foreign objects on a runway during the landing of an aircraft are highly demanded. Such systems could be installed in the airport or could be mounted on the board of an aircraft. This work is focused on a fast foreign object recognition algorithm for an onboard foreign object detection system. <br><br> The algorithm is based on 3D object minimal boundary extraction. The boundary is estimated through an iterative process of minimization of a difference between a pair of orthophotos. During the landing an onboard camera produces a sequence of images from

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Sun, Yuchuang, Wen Jiang, Jiyao Yang, and Wangzhe Li. "SAR Target Recognition Using cGAN-Based SAR-to-Optical Image Translation." Remote Sensing 14, no. 8 (2022): 1793. http://dx.doi.org/10.3390/rs14081793.

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Target recognition in synthetic aperture radar (SAR) imagery suffers from speckle noise and geometric distortion brought by the range-based coherent imaging mechanism. A new SAR target recognition system is proposed, using a SAR-to-optical translation network as pre-processing to enhance both automatic and manual target recognition. In the system, SAR images of targets are translated into optical by a modified conditional generative adversarial network (cGAN) whose generator with a symmetric architecture and inhomogeneous convolution kernels is designed to reduce the background clutter and edg

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Li, Kai-Yun, Niall G. Burnside, Raul Sampaio de Lima, et al. "An Automated Machine Learning Framework in Unmanned Aircraft Systems: New Insights into Agricultural Management Practices Recognition Approaches." Remote Sensing 13, no. 16 (2021): 3190. http://dx.doi.org/10.3390/rs13163190.

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The recent trend of automated machine learning (AutoML) has been driving further significant technological innovation in the application of artificial intelligence from its automated algorithm selection and hyperparameter optimization of the deployable pipeline model for unraveling substance problems. However, a current knowledge gap lies in the integration of AutoML technology and unmanned aircraft systems (UAS) within image-based data classification tasks. Therefore, we employed a state-of-the-art (SOTA) and completely open-source AutoML framework, Auto-sklearn, which was constructed based o

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Valero, Xavier, and Francesc Alías. "Hierarchical Classification of Environmental Noise Sources Considering the Acoustic Signature of Vehicle Pass-Bys." Archives of Acoustics 37, no. 4 (2012): 423–34. http://dx.doi.org/10.2478/v10168-012-0054-z.

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Abstract This work is focused on the automatic recognition of environmental noise sources that affect humans’ health and quality of life, namely industrial, aircraft, railway and road traffic. However, the recognition of the latter, which have the largest influence on citizens’ daily lives, is still an open issue. Therefore, although considering all the aforementioned noise sources, this paper especially focuses on improving the recognition of road noise events by taking advantage of the perceived noise differences along the road vehicle pass-by (which may be divided into different phases: app

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DWIJESH H P, JAYANTH, SANDEEP S. V, and RASHMI S. "Computerized or Automated Object Recognition and Analysis of Pattern Matching in Runways Using Surface Track Data." Journal of University of Shanghai for Science and Technology 23, no. 11 (2021): 159–65. http://dx.doi.org/10.51201/jusst/21/10867.

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In today’s world, accurate and fast information is vital for safe aircraft landings. The purpose of an EMAS (Engineered Materials Arresting System) is to prevent an aeroplane from overrunning with no human injury and minimal damage to the aircraft. Although various algorithms for object detection analysis have been developed, only a few researchers have examined image analysis as a landing assist. Image intensity edges are employed in one system to detect the sides of a runway in an image sequence, allowing the runway’s 3-dimensional position and orientation to be approximated. A fuzzy network

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Li, Zhuoyi, Deshan Chen, Tsz Leung Yip, and Jinfen Zhang. "Sparsity Regularization-Based Real-Time Target Recognition for Side Scan Sonar with Embedded GPU." Journal of Marine Science and Engineering 11, no. 3 (2023): 487. http://dx.doi.org/10.3390/jmse11030487.

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Side Scan Sonar (SSS) is widely used to search for seabed objects such as ships and wrecked aircraft due to its high-imaging-resolution and large planar scans. SSS requires an automatic real-time target recognition system to enhance search and rescue efficiency. In this paper, a novel target recognition method for SSS images in varied underwater environment, you look only once (YOLO)-slimming, based on convolutional a neural network (CNN) is proposed. The method introduces efficient feature encoders that strengthen the representation of feature maps. Channel-level sparsity regularization in mo

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Ming, John, and Bir Bhanu. "ORACLE: An Integrated Learning Approach for Object Recognition." International Journal of Pattern Recognition and Artificial Intelligence 11, no. 06 (1997): 961–90. http://dx.doi.org/10.1142/s0218001497000445.

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Model-based object recognition has become a popular paradigm in computer vision research. In most of the current model-based vision systems, the object models used for recognition are generally a priori given (e.g. obtained using a CAD model). For many object recognition applications, it is not realistic to utilize a fixed object model database with static model features. Rather, it is desirable to have a recognition system capable of performing automated object model acquisition and refinement. In order to achieve these capabilities, we have developed a system called ORACLE: Object Recognitio

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Ukhanov, Evgenii V. "Statistical characteristics of the signal at the output of the optimal radar system for identifying mobile air objects." T-Comm 17, no. 4 (2023): 26–31. http://dx.doi.org/10.36724/2072-8735-2023-17-4-26-31.

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This work can be considered as a continuation of the article, or as separate materials devoted to the recognition of moving air objects based on the theory of testing statistical hypotheses. In the future, when presenting the materials of this article, the terminology proposed in [1] will be used. The relevance of this article is due to the events taking place on the European continent, indicating the need for further development of radar systems for various purposes and the transition from radar to radio vision, which will significantly improve the effectiveness of air defense and airspace co

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Sahith, Jai Krishna. "RECOGNITION OF AIRCRAFT IN REMOTE SENSING IMAGES USING CONVOLUTIONAL NEURAL NETWORK." Journal of Airline Operations and Aviation Management 1, no. 1 (2022): 63–70. http://dx.doi.org/10.56801/jaoam.v1i1.8.

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   Picture processing is a stand-alone, non-human image comprehension system that is one of the major breakthroughs (IUS). When one tries to explain what comprehension is, the effort of comprehending images becomes massive. In addition to classical signal processing, pattern recognition and artificial intelligence are applied. The early phases of the picture comprehension process might be called scene analysis methods that use edge and texture segmentation. As a result, putting a man in a signal processing loop at particular sensors, such as remotely piloted vehicles, satelli

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Petrova, Teodora. "RESEARCH ON ALGORITHMS FOR FILTRATION OF AERIAL AND RADAR IMAGES." KNOWLEDGE INTERNATIONAL JOURNAL 31, no. 6 (2019): 1923–36. http://dx.doi.org/10.35120/kij31061923p.

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In the 1960s a new special science of imagery began to develop – „imagery“, which deals with the study of the general image properties, the goals and tasks of their transformation, the processing and reproduction as well as the recognition of graphic images. Image forming, increasing image quality and the automated processing of aerial images including images captured from satellites, unmanned aircraft, radars equipped with synthesizing equipment and so on, are a subject of a number of researches and developments. The automatic analysis is widely applied in modern monitoring systems as the one

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Wick, Frank. "Trail Blazer into Space." Mechanical Engineering 122, no. 10 (2000): 71–74. http://dx.doi.org/10.1115/1.2000-oct-3.

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This article reviews that from the Cold War to Voyager, the work of Robert Goddard has received much recognition. Independently, Goddard started conceiving and designing a variety of air and space vehicles, and analyzing methods for propulsion and control. In 1903, Wilbur and Orville Wright had achieved powered flight with the three-axis control they had invented, but the flying machine was extremely difficult to manage. In 1907, while he was still an undergraduate, Goddard studied the dynamics of the Wright Flyer, and designed a gyroscope-based stabilizer for automatic control. His attempts t

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Feary, Michael, and Lance Sherry. "Evaluation of a Formal Methodology for Developing Aircraft Vertical Flight Guidance Training Material." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 1 (1998): 72–76. http://dx.doi.org/10.1177/154193129804200117.

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Aircraft automation, particularly the automation surrounding vertical navigation, has been cited as an area of training difficulty and a source of confusion during operation. A number of incidents have been attributed to a lack of crew understanding of what the automation is doing. This paper describes the translation of information from a formal methodology used in design of an automated vertical guidance system to a training package, and an experiment that tested the new training. This study is part of a larger project to improve the recognition and understanding of the “objectives and behav

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Zaugg, Serge, Gilbert Saporta, Emiel van Loon, Heiko Schmaljohann, and Felix Liechti. "Automatic identification of bird targets with radar via patterns produced by wing flapping." Journal of The Royal Society Interface 5, no. 26 (2008): 1041–53. http://dx.doi.org/10.1098/rsif.2007.1349.

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Bird identification with radar is important for bird migration research, environmental impact assessments (e.g. wind farms), aircraft security and radar meteorology. In a study on bird migration, radar signals from birds, insects and ground clutter were recorded. Signals from birds show a typical pattern due to wing flapping. The data were labelled by experts into the four classes BIRD, INSECT, CLUTTER and UFO (unidentifiable signals). We present a classification algorithm aimed at automatic recognition of bird targets. Variables related to signal intensity and wing flapping pattern were extra

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LEE, RAYMOND S. T., and JAMES N. K. LIU. "AN AUTOMATIC SATELLITE INTERPRETATION OF TROPICAL CYCLONE PATTERNS USING ELASTIC GRAPH DYNAMIC LINK MODEL." International Journal of Pattern Recognition and Artificial Intelligence 13, no. 08 (1999): 1251–70. http://dx.doi.org/10.1142/s0218001499000719.

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In the past decades, satellite interpretation was one of the vital methods for the determination of weather patterns all over the world, especially for the identification of severe weather patterns such as tropical cyclones (TC). The method is based on Dvorak Technique8 which provides a means of the identification of the cyclone and its intensity. This is a kind of pattern-matching techniques and is based on some well-known TC templates for reference. Due to the high variation and complexity of cloud activities for the tropical cyclone patterns, meteorological analysts all over the world so fa

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Dixon, Michael, Robert Glaubius, Philip Freeman, et al. "Measuring optical distortion in aircraft transparencies: a fully automated system for quantitative evaluation." Machine Vision and Applications 22, no. 5 (2010): 791–804. http://dx.doi.org/10.1007/s00138-010-0258-z.

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Slyusar, Vadym, Mykhailo Protsenko, Anton Chernukha, et al. "Construction of an advanced method for recognizing monitored objects by a convolutional neural network using a discrete wavelet transform." Eastern-European Journal of Enterprise Technologies 4, no. 9(112) (2021): 65–77. http://dx.doi.org/10.15587/1729-4061.2021.238601.

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The tasks that unmanned aircraft systems solve include the detection of objects and determining their state. This paper reports an analysis of image recognition methods in order to automate the specified process. Based on the analysis, an improved method for recognizing images of monitored objects by a convolutional neural network using a discrete wavelet transform has been devised. Underlying the method is the task of automating image processing in unmanned aircraft systems. The operability of the proposed method was tested using an example of processing an image (aircraft, tanks, helicopters

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Becker, Denise, and Jörg Klonowski. "Object Recognition of a GCP Design in UAS Imagery Using Deep Learning and Image Processing—Proof of Concept Study." Drones 7, no. 2 (2023): 94. http://dx.doi.org/10.3390/drones7020094.

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Image-based unmanned aircraft systems (UASs) are used in a variety of geodetic applications. Precise 3D terrain surface mapping requires ground control points (GCPs) for scaling and (indirect) georeferencing. In image analysis software (e.g., Agisoft Metashape), the images can be generated to a 3D point cloud using Structure-from-Motion (SfM). In general, the conventional GCP design for UAS flights is a checkerboard pattern, which is provided in the software and used for automatic marker detection in each image. When changing the pattern, manual work would be required by picking the GCP indivi

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Wang, Liang, Jianliang Ai, Li Zhang, and Zhenlin Xing. "Design of Airport Obstacle-Free Zone Monitoring UAV System Based on Computer Vision." Sensors 20, no. 9 (2020): 2475. http://dx.doi.org/10.3390/s20092475.

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In recent years, a rising number of incidents between Unmanned Aerial Vehicles (UAVs) and planes have been reported at airports and airfields. A design scheme for an airport obstacle-free zone monitoring UAV system based on computer vision is proposed. The system integrates the functions of identification, tracking, and expelling and is mainly used for low-cost control of balloon airborne objects and small aircrafts. First, a quadcopter dynamic model and 2-Degrees of Freedom (2-DOF) Pan/Tilt/Zoom (PTZ) model are analyzed, and an attitude back-stepping controller based on disturbance compensati

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Kozlova, A. E., M. Yu Narkevich, O. S. Logunova, and K. E. Shakhmayeva. "Visualization Elements in the Examination of Dangerous Production Facilities using an Unmanned Aircraft." Scientific Visualization 15, no. 2 (2023): 113–24. http://dx.doi.org/10.26583/sv.15.2.10.

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The paper considers the possibility of using visualization when preparing a task for frontal surface examination of hazardous industrial facilities using unmanned aerial vehicles. The research is based on the results of an experimental survey of buildings and structures of a large metallurgical enterprise in Russia. As initial data, photographs of buildings and structures obtained using a camera of an unmanned aerial vehicle and their drawings were used. When building a 3D model, the capabilities of Autodesk AutoCAD and Autodesk Revit were used. When building a 2D information model, a combinat

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Aleksandrovskaya, L. N., A. E. Ardalionova, and A. V. Kirillin. "Ultra-low risk assessment under the confirmed compliance of automatic aircraft landing characteristics with airworthiness requirements." Journal of Computer and Systems Sciences International 55, no. 2 (2016): 232–41. http://dx.doi.org/10.1134/s1064230716010032.

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Ponomarov, Alexander Nikolaevich. "GROUND-BASED EXPERIMENTAL TESTING OF ELEMENTS OF AUTOMATION OF PNEUMATIC-HYDRAULIC SYSTEMS OF ROCKET AND SPACE TECHNOLOGY." Journal of Rocket-Space Technology 27, no. 4 (2019): 58–61. http://dx.doi.org/10.15421/451909.

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The design and production of sophisticated technical systems, which include modern rockets and other aircraft, requires their reliability and trouble-free operation. To achieve the required level of reliability of aerospace products, a wide variety of test methods are applied at all stages of the life cycle. One of the most important systems of the launch vehicle is the pneumatic hydraulic power system of the liquid rocket propulsion system. Development of new and improvement of existing methods of control and diagnostics is one way of increasing the design and technological reliability of pro

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Apud Baca, Javier Gibran, Thomas Jantos, Mario Theuermann, et al. "Automated Data Annotation for 6-DoF AI-Based Navigation Algorithm Development." Journal of Imaging 7, no. 11 (2021): 236. http://dx.doi.org/10.3390/jimaging7110236.

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Accurately estimating the six degree of freedom (6-DoF) pose of objects in images is essential for a variety of applications such as robotics, autonomous driving, and autonomous, AI, and vision-based navigation for unmanned aircraft systems (UAS). Developing such algorithms requires large datasets; however, generating those is tedious as it requires annotating the 6-DoF relative pose of each object of interest present in the image w.r.t. to the camera. Therefore, this work presents a novel approach that automates the data acquisition and annotation process and thus minimizes the annotation eff

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Zhyrnov, V., S. Solonskaya, and I. Shubin. "Evaluation of radar image processing efficiency based on intelligent analysis of processes." Radiotekhnika, no. 207 (December 24, 2021): 83–88. http://dx.doi.org/10.30837/rt.2021.4.207.09.

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The paper presents results of development of the method and experimental studies of the system for automatic detection of radar signals of aerial objects and their recognition with the processing of real records in surveillance radars. The relevance of this work consists in creation of algorithms for automatic information processing to ensure effective detection of useful signals due to accumulation of signal (energy) and semantic information. The method is based on the definition of semantic components at the stage of formation and analysis of the symbolic model of signals from point and exte

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Sulub, Yusuf, and Gary W. Small. "Simulated Radiance Profiles for Automating the Interpretation of Airborne Passive Multi-Spectral Infrared Images." Applied Spectroscopy 62, no. 10 (2008): 1049–59. http://dx.doi.org/10.1366/000370208786049150.

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Methodology is developed for simulating the radiance profiles acquired from airborne passive multispectral infrared imaging measurements of ground sources of volatile organic compounds (VOCs). The simulation model allows the superposition of pure-component laboratory spectra of VOCs onto spectral backgrounds that simulate those acquired during field measurements conducted with a downward-looking infrared line scanner mounted on an aircraft flying at an altitude of 2000–3000 ft (approximately 600–900 m). Wavelength selectivity in the line scanner is accomplished through the use of a multichanne

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Ding, Jian Li, and Yong Yang. "Automatic Recognition of Aircraft Noise with PLP Method." Applied Mechanics and Materials 160 (March 2012): 145–49. http://dx.doi.org/10.4028/www.scientific.net/amm.160.145.

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This paper proposes a modified auditory feature extraction algorithm based on perceptual linear predictive analysis which is more suitable for automatic recognition of aircraft noise. In this algorithm, a different distribution of filter-bank is introduced in order to fit the physical characteristic of aircraft noise and the result shows that the modified method indeed performs better. The effect of Gammatone filter in improving the robustness of recognition algorithm is also demonstrated in the experiment.

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Lu, Jing, Hongjun Chai, and Ruchun Jia. "A General Framework for Flight Maneuvers Automatic Recognition." Mathematics 10, no. 7 (2022): 1196. http://dx.doi.org/10.3390/math10071196.

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Flight Maneuver Recognition (FMR) refers to the automatic recognition of a series of aircraft flight patterns and is a key technology in many fields. The chaotic nature of its input data and the professional complexity of the identification process make it difficult and expensive to identify, and none of the existing models have general generalization capabilities. A general framework is proposed in this paper, which can be used for all kinds of flight tasks, independent of the aircraft type. We first preprocessed the raw data with unsupervised clustering method, segmented it into maneuver seq

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Krawczyk, Mariusz, Cezary Szczepański, and Albert Zajdel. "Automatic Taxiing Direction Control System for Carrier-Based Aircraft." Transactions on Maritime Science 8, no. 2 (2019): 171–79. http://dx.doi.org/10.7225/toms.v08.n02.002.

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This paper solves the problem of automatic taxiing direction control of carrier-based aircraft. On modern aircraft carriers, taxiing aircraft either propel themselves using their own engines or are towed by specialised tugs, which requires dedicated personnel and assets. The automatization of this process would simultaneously increase aircraft flow and decrease the number of personnel and assets required. The key challenge in the automatization of this type of process is the development of an automatic control system capable of performing the requisite tasks, which our researchers managed to d

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Crassidis, John L., D. Joseph Mook, and James M. McGrath. "Automatic carrier landing system utilizing aircraft sensors." Journal of Guidance, Control, and Dynamics 16, no. 5 (1993): 914–21. http://dx.doi.org/10.2514/3.21101.

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Khaparde, Devesh, Heet Detroja, Jainam Shah, Rushikesh Dikey, and Bhushan Thakare. "Automatic Number Plate Recognition System." International Journal of Computer Applications 179, no. 49 (2018): 26–29. http://dx.doi.org/10.5120/ijca2018917277.

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Li, Bo, Zhi Yuan Zeng, Hua Li Dong, and Xiao Ming Zeng. "Automatic License Plate Recognition System." Applied Mechanics and Materials 20-23 (January 2010): 438–44. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.438.

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This paper proposed an algorithm for license plate recognition system(LPRS). The vertical edge was first detected by sobel color edge detector. Then, the invalid edge was removed regarding edge density. Next, the license plate(LP) image was converted into HSV color model, and by edge density template and fuzzy color information judgement, the LP region was located. Then, color-reversing judgement and tilt correction was conducted. Afterward, characters were segmented by means of vertical projection and convolution, by which character width and position can be exactly confirmed, and character r

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Gomez-Donoso, Francisco, Miguel Cazorla, Alberto Garcia-Garcia, and Jose Garcia-Rodriguez. "Automatic Schaeffer's gestures recognition system." Expert Systems 33, no. 5 (2016): 480–88. http://dx.doi.org/10.1111/exsy.12160.

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Kukla, Radovan, Jiří Šťastný, and Jan Kolomazník. "System for automatic crate recognition." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 60, no. 2 (2012): 151–56. http://dx.doi.org/10.11118/actaun201260020151.

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This contribution describes usage of computer vision and artificial intelligence methods for application. The method solves abuse of reverse vending machine. This topic has been solved as innovation voucher for the South Moravian Region. It was developed by Mendel university in Brno (Department of informatics – Faculty of Business and Economics and Department of Agricultural, Food and Environmental Engineering – Faculty of Agronomy) together with the Czech subsidiary of Tomra. The project is focused on a possibility of integration industrial cameras and computers to process recognition of crat

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Szczepanski, Cezary, Mariusz Krawczyk, and Albert Zajdel. "The airplane trim system – new functionalities." Aircraft Engineering and Aerospace Technology 92, no. 9 (2020): 1401–6. http://dx.doi.org/10.1108/aeat-12-2019-0241.

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Purpose A standard automatic flight control system – autopilot – will become required equipment of the future aircraft, operating in the common sky. For a specific group of aircraft, they are too expensive and too energy-consuming solutions. This paper aims to present the concept of an automatic flight control system that overcomes those limitations. Design/methodology/approach The proposed automatic flight control system uses the trim tabs in all prime flight controlling surfaces: elevator, ailerons and rudder, for stabilizing and controlling the steady flights of an aircraft. Findings The re

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Rogalski, Tomasz, Mariusz Dojka, Kamila Jakubik, and Lukasz Walek. "Automatic take-off control system." Aeronautics and Aerospace Open Access Journal 7, no. 2 (2023): 93–97. http://dx.doi.org/10.15406/aaoaj.2023.07.00175.

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The purpose of the work is to present a solution that will significantly contribute to the technological development of the European defense sector. The proposed solution raises the issue of controlling autonomous vehicles. This paper presents the concept of an algorithm that allows for automatic take-off of unmanned aircraft. Arguments are presented which justify the need for developing and applying such a system. The socioeconomic and environmental aspects of the project are also discussed. The automatic take-off algorithm complements existing aircraft flight control systems. The considered

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Rawat, Prince, Mohit Jha, Bhavay Chawla, and Dr Sunil Mathur. "Automatic attendance system using facial recognition system." International Journal of Engineering in Computer Science 4, no. 2 (2022): 01–07. http://dx.doi.org/10.33545/26633582.2022.v4.i2a.70.

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Roopa, K., and T. V. Rama Murthy. "Aircraft Image Recognition System Using Phase Correlation Method." Journal of Intelligent Systems 22, no. 3 (2013): 283–97. http://dx.doi.org/10.1515/jisys-2013-0035.

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AbstractThis article describes the aircraft image recognition system implemented using the phase correlation technique in Matlab environment. The phase correlation is computed by using the normalized cross-power spectrum between the database and the template test image. The main objective of this article is to develop methods for static analysis of aircraft images. An unknown fighter aircraft is recognized by comparing its static image with those from a database of images of aircraft. This work is a research initiative involving the use of image processing techniques to detect three-dimensiona

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Bi, Yun Bo, Yi Hang Jiang, Yong Chao Li, Wei Wang, Mian Gao, and Shuo Li. "A New Flexible Track Automatic Drilling System." Applied Mechanics and Materials 433-435 (October 2013): 2178–83. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.2178.

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The Flexible track automatic drilling equipment is widely used in aircraft assembly because of the low cost, high efficiency and high quality of holes. This paper constructs a new flexible track drilling system for large-size aircraft assembly. The system structure is introduced, and the transformation algorithm between product/device coordinate system and axes position parameters is proposed. The experimental results show that the transformation algorithm has the merits of high computational efficiency and high stability, and can meet the requirement of precision drilling.

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Somaie, A., A. Badr, and T. Salah. "FROM NEURAL NETWORK TO AIRCRAFT RECOGNITION SYSTEM." International Conference on Electrical Engineering 2, no. 2 (1999): 305–11. http://dx.doi.org/10.21608/iceeng.1999.62514.

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Zaitseva, Alina, Nikolai Dudayev, and Konstantin Shcherbakov. "MICROPROCESSOR SYSTEM FOR AUTOMATIC CONTROL OF AIRCRAFT FIRE PROTECTION MEANS." Electrical and data processing facilities and systems 18, no. 1 (2022): 131–42. http://dx.doi.org/10.17122/1999-5458-2022-18-1-131-142.

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Relevance The ever-increasing requirements for the safety of the use of aviation technology are inextricably linked with the problem of providing fire protection for aircraft, both military and civilian. The complexity of the problem of ensuring the fire safety of flights is associated with an increase in the intensity of the use of aviation equipment and the expansion of the range of functional tasks performed by it. The resulting complication of on-board equipment and an increase in the number of energy-intensive devices creates the prerequisites for the occurrence of fires on board the airc

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Smith, G. Allan, and George Meyer. "Aircraft automatic flight control system with model inversion." Journal of Guidance, Control, and Dynamics 10, no. 3 (1987): 269–75. http://dx.doi.org/10.2514/3.20213.

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Juang *, Jih-Gau, and Jern-Zuin Chio. "Fuzzy modelling control for aircraft automatic landing system." International Journal of Systems Science 36, no. 2 (2005): 77–87. http://dx.doi.org/10.1080/0020772042000325961.

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Šlihta, Mareks, Vladimirs Šestakovs, and Ramachandran Karunanidhi. "Aircraft Automatic Control System Failure and Flight Safety." Transport and Aerospace Engineering 3, no. 1 (2016): 15–23. http://dx.doi.org/10.1515/tae-2016-0002.

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Abstract This article presents a mathematical model estimating the probability of successful completion of the aircraft’s flight in case of aviation equipment failure in flight. This paper shows the relationship between the aircraft’s automatic control system and flight safety. The calculations of probability are made for the successful completion of the flight on Boeing 737 aircraft when the automatic control system has failed.

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