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Journal articles on the topic 'Uninhabited Aerial Vehicles'

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Author: Grafiati

Published: 6 September 2023

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1

Flach, John, Robert Eggleston, Gil Kuperman, and Cynthia Dominguez. "Uninhabited Combat Aerial Vehicles: Who's Driving?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 1 (October 1998): 113–17. http://dx.doi.org/10.1177/154193129804200126.

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The acronym UCAV is typically associated with Uninhabited Combat Aerial Vehicles, but it might alternatively stand for Unspecified, Collaborative, Adaptive, and Vulnerable. This paper considers Rasmussen's approach to Cognitive Systems Engineering as a possible framework for designing the interfaces and support systems needed to effectively manage the information technology.

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2

Rotstein, Hector P., Ryan Ingvalson, Tamas Keviczky, and Gary J. Balas. "Fault-Detection Design for Uninhabited Aerial Vehicles." Journal of Guidance, Control, and Dynamics 29, no. 5 (September 2006): 1051–60. http://dx.doi.org/10.2514/1.16879.

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3

Narayanan, S., Heath A. Ruff, Narasimha Rao Edala, Jonathan A. Geist, Kiran Kumar Patchigolla, Mark Draper, and Mike Haass. "Human-Integrated Supervisory Control of Uninhabited Combat Aerial Vehicles." Journal of Robotics and Mechatronics 12, no. 6 (December 20, 2000): 628–39. http://dx.doi.org/10.20965/jrm.2000.p0628.

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Uninhabited aerial vehicles are aircraft without the onboard presence of pilot or aircrew. Even though the human is removed from the direct control of the aircraft, the human is typically involved in the process as a supervisor in a multiple task telerobotics control system. The supervisor must receive the appropriate information for efficient decision making and input the information required to augment the autonomous control of the vehicle as necessary. This article presents an approach that applies human operator modeling methods to perform semiotic analysis and identifies the content and form of the information required for effective supervisory control. This paper also outlines a computational modeling and simulation architecture that supports concurrent multi-user connectivity and reconfigurable user interfaces. The potential utilization of this architecture to systematically evaluate interface concepts and the role of automation in these systems is also described. Finally, an empirical evaluation is described that benchmarks the effectiveness of the architecture.Human-Integrated Supervisory Control of Uninhabited Combat Aerial Vehicles.

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4

Campbell, Mark E., and Matthew Wheeler. "Vision-Based Geolocation Tracking System for Uninhabited Aerial Vehicles." Journal of Guidance, Control, and Dynamics 33, no. 2 (March 2010): 521–32. http://dx.doi.org/10.2514/1.44013.

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5

Gawron, Valerie J. "Human Factors Problems Associated with Uninhabited Aerial Vehicles (UAVs)." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 23 (October 1998): 1600. http://dx.doi.org/10.1177/154193129804202301.

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6

Strawser, Bradley Jay. "Moral Predators: The Duty to Employ Uninhabited Aerial Vehicles." Journal of Military Ethics 9, no. 4 (December 2010): 342–68. http://dx.doi.org/10.1080/15027570.2010.536403.

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7

Avanzini, Giulio, and David S. Martínez. "Risk assessment in mission planning of uninhabited aerial vehicles." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 10 (January 13, 2019): 3499–518. http://dx.doi.org/10.1177/0954410018811196.

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A procedure for evaluating the risk related to the use of unmanned aerial systems over populated areas is proposed. A nominal trajectory, planned for performing a given mission, is represented by means of motion primitives, that is segments and arcs flown in a steady-state condition. The risk of hitting a person on the ground after catastrophic failure is evaluated as a function of vehicle reliability and population density (assumed known), and position of the impact point (which depends on initial conditions at the time of failure and trajectory flown afterwards). In the deterministic case, a lethal area is introduced and the risk at each point on the ground is proportional to the amount of time spent by the point inside the lethal area. Under the assumptions of a ballistic fall, the position of the lethal area with respect to the nominal trajectory depends only on altitude and velocity at the time of failure. When the effect of navigation errors is introduced, impact points are described by a statistical impact footprint, assuming that position and velocity errors at time of failure are normally distributed with known standard deviations. The two approaches are compared for a fictitious, yet realistic, mission scenario.

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8

Langelaan, Jack W. "Gust Energy Extraction for Mini and Micro Uninhabited Aerial Vehicles." Journal of Guidance, Control, and Dynamics 32, no. 2 (March 2009): 464–73. http://dx.doi.org/10.2514/1.37735.

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9

Enright, John J., Ketan Savla, Emilio Frazzoli, and Francesco Bullo. "Stochastic and Dynamic Routing Problems for Multiple Uninhabited Aerial Vehicles." Journal of Guidance, Control, and Dynamics 32, no. 4 (July 2009): 1152–66. http://dx.doi.org/10.2514/1.41616.

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10

Hoover, Randy C., Marco P. Schoen, and D. Subbaram Naidu. "FUSION OF HARD AND SOFT CONTROL FOR UNINHABITED AERIAL VEHICLES." IFAC Proceedings Volumes 38, no. 1 (2005): 85–90. http://dx.doi.org/10.3182/20050703-6-cz-1902.02066.

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11

Novac, Valerian, and Eugen Rusu. "UAVs Support to Naval Operations." International conference KNOWLEDGE-BASED ORGANIZATION 27, no. 3 (June 1, 2021): 70–76. http://dx.doi.org/10.2478/kbo-2021-0091.

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Abstract The paper proposes an analysis of Unmanned Aerial Vehicles (UAVs) features that enable them to support naval operations in general, but the focus drawn to the Black Sea basin peculiarities in particular. In the introductory part, the authors succinctly present the Black Sea basin’s physical and strategic characteristics. Then, follows a description of UAVs features and potential missions conducted by these types of robots. In the next section, the article presents the uninhabited aerial vehicle classification and system components. The last chapter analyses the efficiencies and vulnerabilities of these vehicles. The closing section gives some short conclusions regarding the suitability of using such assets to support naval operations and a few further research directions..

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12

Avanzini, G., S. D'Angelo, and G. de Matteis. "Design and development of a vertical take-off and landing uninhabited aerial vehicle." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 217, no. 4 (April 1, 2003): 169–78. http://dx.doi.org/10.1243/095441003769700735.

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This paper reports the status of the activities carried out at Polytechnic of Turin and University of Rome “La Sapienza” to design, build and fly a shrouded-fan uninhabited aerial vehicle. The project goal is the realization of a reliable vertical take-off and landing platform to be used for research activities in various fields including autonomous remote sensing, design and development of rapid prototype vehicles, flight control system design and high-fidelity modelling for simulation-based control system validation.

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13

Zhao, Yiyuan J. "Extracting Energy from Downdraft to Enhance Endurance of Uninhabited Aerial Vehicles." Journal of Guidance, Control, and Dynamics 32, no. 4 (July 2009): 1124–33. http://dx.doi.org/10.2514/1.42133.

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14

Langelaan, Jack W. "Erratum: Gust Energy Extraction for Mini and Micro Uninhabited Aerial Vehicles." Journal of Guidance, Control, and Dynamics 34, no. 1 (January 2011): 324. http://dx.doi.org/10.2514/1.50149.

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15

Narayanan, S., Narasimha Rao Edala, Jonathan Geist, Patchigolla Kiran Kumar, Heath A. Ruff, Mark Draper, and Michael W. Haas. "UMAST: A Web-Based Architecture for Modeling Future Uninhabited Aerial Vehicles." SIMULATION 73, no. 1 (July 1999): 29–39. http://dx.doi.org/10.1177/003754979907300105.

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16

Galliott, Jai C. "UNINHABITED AERIAL VEHICLES AND THE ASYMMETRY OBJECTION: A RESPONSE TO STRAWSER." Journal of Military Ethics 11, no. 1 (March 2012): 58–66. http://dx.doi.org/10.1080/15027570.2012.683703.

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17

Shima, Tal, Steven J. Rasmussen, Andrew G. Sparks, and Kevin M. Passino. "Multiple task assignments for cooperating uninhabited aerial vehicles using genetic algorithms." Computers & Operations Research 33, no. 11 (November 2006): 3252–69. http://dx.doi.org/10.1016/j.cor.2005.02.039.

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18

Kumar, Manish, Kelly Cohen, and Baisravan HomChaudhuri. "Cooperative Control of Multiple Uninhabited Aerial Vehicles for Monitoring and Fighting Wildfires." Journal of Aerospace Computing, Information, and Communication 8, no. 1 (January 2011): 1–16. http://dx.doi.org/10.2514/1.48403.

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19

Whitacre, William, and Mark E. Campbell. "Decentralized Geolocation and Bias Estimation for Uninhabited Aerial Vehicles with Articulating Cameras." Journal of Guidance, Control, and Dynamics 34, no. 2 (March 2011): 564–73. http://dx.doi.org/10.2514/1.49059.

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20

Ortiz, Andres E., and Cédric Langbort. "Scheduling Multiple Uninhabited Aerial Vehicles for Target Classification by Single Human Operator." Journal of Aerospace Computing, Information, and Communication 8, no. 12 (December 2011): 328–45. http://dx.doi.org/10.2514/1.54278.

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21

Castro, Luis N. Gonzalez, Amy R. Pritchett, Daniel P. J. Bruneau, and Eric N. Johnson. "Applying Coherent Design to Uninhabited Aerial Vehicle Operations and Control Stations." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 4 (October 2007): 181–85. http://dx.doi.org/10.1177/154193120705100408.

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This paper addresses principles of coherent design in the design of operational procedures, control systems and ground control stations for uninhabited aerial vehicles (UAVs). Creating a coherent set of operating procedures, automatic functions and Ground Control Stations (GCS) requires a systematic design approach that creates a consistent conceptual thread between these elements. Following this approach, Cognitive Work Analysis was used to develop procedures, automatic functions and ground control stations for continuous target surveillance using a UAV. The importance of the coherence was subsequently analyzed through human-in-the-loop simulation. The results indicate that UAV controllers, using coherent designs, achieve significantly higher mission performance and experience lower workloads than those using incoherently matched procedures, automatic functions and GCS.

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22

Edison, Eugene, and Tal Shima. "Integrated task assignment and path optimization for cooperating uninhabited aerial vehicles using genetic algorithms." Computers & Operations Research 38, no. 1 (January 2011): 340–56. http://dx.doi.org/10.1016/j.cor.2010.06.001.

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23

Crescenzio, Francesca De, Giovanni Miranda, Franco Persiani, and Tiziano Bombardi. "A First Implementation of an Advanced 3D Interface to Control and Supervise UAV (Uninhabited Aerial Vehicles) Missions." Presence: Teleoperators and Virtual Environments 18, no. 3 (June 1, 2009): 171–84. http://dx.doi.org/10.1162/pres.18.3.171.

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Recent analyses on the uninhabited aerial vehicle (UAV) accidents revealed that several kinds of human-system control problems occur in current UAV missions. Therefore, a design of the man–machine interface that allows for an efficient and effective interaction between the operator and the remote vehicle becomes one of the challenges in the development of more reliable UAVs. This paper presents a first implementation of an advanced interface for UAV ground control station based on a touch screen, a 3D virtual display, and an audio feedback message generator. The touch screen is used to send high level commands to the vehicle, the 3D virtual display provides a stereoscopic and augmented visualization of the complex scenario in which the vehicle operates, and the audio feedback message generator informs the operator about any change in operational scenario. The hardware/software architecture of the interface also includes a planning algorithm and a generic vehicle model. The interface has been tested by simulating several UAV missions. The results have shown that the interface requires an adequate level of workload to command the vehicle and allows the operator to build a good level of awareness of the state of the vehicle under his or her control, as well as of the environment in which it operates.

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24

Song, Kyounghwan, Jung-Yeul Jung, Seung Hyun Lee, Sanghyun Park, and Yunjung Yang. "Assessment of Marine Debris on Hard-to-Reach Places Using Unmanned Aerial Vehicles and Segmentation Models Based on a Deep Learning Approach." Sustainability 14, no. 14 (July 7, 2022): 8311. http://dx.doi.org/10.3390/su14148311.

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It is difficult to assess the characteristics of marine debris, especially on hard-to-reach places such as uninhabited islands, rocky coasts, and seashore cliffs. In this study, to overcome the difficulties, we developed a method for marine debris assessment using a segmentation model and images obtained by UAVs. The method was tested and verified on an uninhabited island in Korea with a rocky coast and a seashore cliff. Most of the debris was stacked on beaches with low slopes and/or concave shapes. The number of debris items on the whole coast estimated by the mapping was 1295, which was considered to be the actual number of coastal debris items. However, the number of coastal debris items estimated by conventional monitoring method-based statistical estimation was 6741 (±1960.0), which was severely overestimated compared with the mapping method. The segmentation model shows a relatively high F1-score of ~0.74 when estimating a covered area of ~177.4 m2. The developed method could provide reliable estimates of the class of debris density and the covered area, which is crucial information for coastal pollution assessment and management on hard-to-reach places in Korea.

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25

Saqer, H., E. de Visser, A. Emfield, T. Shaw, and R. Parasuraman. "Adaptive Automation to Improve Human Performance in Supervision of Multiple Uninhabited Aerial Vehicles: Individual Markers of Performance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 55, no. 1 (September 1, 2011): 890–93. http://dx.doi.org/10.1177/1071181311551185.

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26

Ariff, Omar Kassim, Tiauw Hiong Go, Surjatin Wiriadidjaja, and Amzari Zhahir. "Three Dimensional Path Planning Algorithm for Small UAVs Incorporating Existing Dynamic Soaring Heuristics." Applied Mechanics and Materials 225 (November 2012): 403–8. http://dx.doi.org/10.4028/www.scientific.net/amm.225.403.

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An area under consideration of improving the mission effectiveness of small-scale, autonomous Uninhabited Aerial Vehicles (UAVs) has been the increase of speed. One method is to incorporate dynamic slope soaring maneuvers as part of the flight path during waypoint navigation. Research into autonomous dynamic soaring capability in small-scale UAVs began with selecting a suitable maneuver heuristic. The output from the heuristic model has then been used to formulate a non-iterative trajectory forming algorithm. By utilizing Dubin’s curves, a viable trajectory can be generated between the exit point of the dynamic soaring maneuver and the next waypoint. The result is a complete, easily implemented three-dimensional autonomous dynamic soaring capability.

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27

Zhang, Xiangyin, Haibin Duan, Shan Shao, and Yunhui Wang. "Design of Multi-Criteria PI Controller Using Particle Swarm Optimization for Multiple UAVs Close Formation." International Journal of Swarm Intelligence Research 1, no. 2 (April 2010): 1–17. http://dx.doi.org/10.4018/jsir.2010040101.

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Close formation flight is one of the most complicated problems on multiple Uninhabited Aerial Vehicles (UAVs) coordinated control. This paper proposes a new method to achieve close formation tracking control of multiple UAVs by applying Particle Swarm Optimization (PSO) based Proportional plus Integral (PI) controller. Due to its simple structure and effectiveness, multi-criteria PI control strategy is employed to design the controller for multiple UAVs formation, while PSO is used to optimize the controller parameters on-line. With the inclusion of overshoot, rise time, and system accumulated absolute error in the multi-criteria performance index, the overall performance of multi-criteria PI controller is optimized to be satisfactory. Simulation results show the feasibility and effectiveness of the proposed approach.

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28

Ariff, O. K., and T. H. Go. "Waypoint Navigation of Small-Scale UAV incorporating Dynamic Soaring." Journal of Navigation 64, no. 1 (November 26, 2010): 29–44. http://dx.doi.org/10.1017/s0373463310000378.

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The latest attempts at improving small scale autonomously guided Uninhabited Aerial Vehicles (UAVs) have concentrated around the increase of range and speed. One of these ways is to incorporate dynamic slope soaring manoeuvres as part of the flight path. This is in contrast to most conventional path-planning algorithms where waypoint guidance is merged with terrain avoidance or contour following capability. Additionally, current trajectory optimization techniques are iterative and so have a considerable computational load. The proposed algorithm is based on Dubin's curves, and is therefore optimal by definition. Being non-iterative, it is comparatively a more efficient algorithm. Hence, a key advantage of the proposed technique is that the desired trajectory is generated quickly in real time with minimum computational load while satisfying the spatial constraints of dynamic slope soaring.

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29

Tang, Ellande, and Soon-Jo Chung. "Rapid extraction of propeller geometry using photogrammetry." International Journal of Micro Air Vehicles 14 (January 2022): 175682932211320. http://dx.doi.org/10.1177/17568293221132044.

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As small Uninhabited Aerial Vehicles (sUAS) increase in popularity, computational analysis is increasingly being used to model and improve their performance. However, although propeller performance is one of the primary elements in modelling an aircraft, most manufacturers of propellers for this size of vehicle do not publish geometric information for the propeller. The lack of available geometric data makes simulation of propeller aerodynamics challenging. While techniques exist to accurately extract the 3D geometry of a propeller, these methods are often very expensive, time-consuming, or labor intensive. Additionally, typical 3D scanning techniques produce a 3D mesh that is not useful for techniques such as Blade Element Theory (BET), which rely on knowledge of the 2D cross sections along the propeller span. This paper describes a novel workflow to produce point clouds using readily available photo equipment and software and subsequently extract airfoil and propeller blade parameters at specified stations along the propeller span. The described process can be done with little theoretical knowledge of photogrammetry and with minimal human input. The propeller geometry generated is compared against results of established methods of geometry extraction and good agreement is shown.

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30

Gunn, Daniel V., W. Todd Nelson, Robert S. Bolia, Joel S. Warm, Donald A. Schumsky, and Kevin J. Corcoran. "Target Acquisition with UAVS: Vigilance Displays and Advanced Cueing Interfaces." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 17 (September 2002): 1541–45. http://dx.doi.org/10.1177/154193120204601703.

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Future Uninhabited Aerial Vehicles (UAVs) will require operators to switch quickly and efficiently from supervisory to manual control. Utilizing a vigilance task in which threat detections (critical signals) led observers to perform a subsequent manual target acquisition task, the present investigation revealed that the type of vigilance display might have important design implications for future UAV systems. A sensory display format resulted in more threat detections, fewer false alarms, and faster target acquisition times and imposed a lighter workload than a cognitive display format. Thus, the former may be the best display arrangement for future UAV controllers. Additionally, advanced visual, spatial audio, and haptic cueing interfaces enhanced acquisition performance over no cueing in the target acquisition phase of the task, and did so to a similar degree. This finding suggests that advanced cueing interfaces may also prove useful in future UAV systems and that these interfaces are functionally interchangeable.

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31

DAVE, RAKESH, SUBHASHINI GANAPATHY, MARY FENDLEY, and S. NARAYANAN. "A KNOWLEDGE-BASED SYSTEM TO MODEL HUMAN SUPERVISORY CONTROL IN DYNAMIC PLANNING." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12, supp02 (October 2004): 1–14. http://dx.doi.org/10.1142/s0218488504003004.

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With the increases in the levels of automation and computerization, supervisory control systems are becoming increasingly common in commercial and military applications. A supervisory control system consists of one or more human operators interacting with highly automated components such as those seen in satellite ground control, flexible manufacturing systems, or nuclear power plants. Humans typically perform cognitively intense tasks such as monitoring, planning, real-time control, and troubleshooting, and are ultimately responsible for the safe and efficient operation of the overall system. Although developments on supervisory control have led to useful applications in interface design and automation, there is a scarcity of research that empirically evaluates human decision making in supervisory control through emulation of task performance using knowledge-based systems. In the context of dynamic planning involving simulated search and rescue missions using ground based autonomous robots and uninhabited aerial vehicles, we developed a knowledge-based system that mimics supervisory control performance. This paper describes the application domain, the details of the simulation model, and the implementation and assessment of a knowledge-based system that mimics human supervisory control performance.

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32

Shima, Tal, Steven J. Rasmussen, and Phillip Chandler. "UAV Team Decision and Control Using Efficient Collaborative Estimation." Journal of Dynamic Systems, Measurement, and Control 129, no. 5 (April 21, 2007): 609–19. http://dx.doi.org/10.1115/1.2764504.

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A novel decision-estimation methodology for a team of agents cooperating under communication imperfections is presented. The scenario of interest is that of a group of uninhabited aerial vehicles (UAVs) cooperatively performing, under communication delays, multiple tasks on multiple ground targets. In the proposed architecture, each UAV in the group runs an identical centralized decision algorithm and multiple information filters in parallel on its own states, its teammates’ states, and its own states as viewed by its teammates. Under perfect information, the decision architecture allows implicit coordination. Under imperfect information, the estimation of team members’ states enables predicting their cost to prosecute new tasks. Thus, the group performance under communication imperfections can be improved. Two different algorithms are proposed for the estimation process. The first is communication efficient, in which asynchronous information updates are sent to the network by individual members based on the value of the information to the rest of the group. The second is computation efficient utilizing synchronous information updates. Taking into account that the plan and plant of each UAV are known to the group improves the overall estimation process. Utilizing the MULTIUAV2 simulation testbed, a Monte Carlo study is presented. The benefit of using the proposed algorithms is shown with regard to the target prosecution rate and the communication bandwidth required for cooperation.

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33

Hood, Robbie E., Daniel J. Cecil, Frank J. LaFontaine, Richard J. Blakeslee, Douglas M. Mach, Gerald M. Heymsfield, Frank D. Marks, Edward J. Zipser, and Michael Goodman. "Classification of Tropical Oceanic Precipitation using High-Altitude Aircraft Microwave and Electric Field Measurements." Journal of the Atmospheric Sciences 63, no. 1 (January 1, 2006): 218–33. http://dx.doi.org/10.1175/jas3606.1.

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Abstract During the 1998 and 2001 hurricane seasons of the western Atlantic Ocean and Gulf of Mexico, the Advanced Microwave Precipitation Radiometer (AMPR), the ER-2 Doppler (EDOP) radar, and the Lightning Instrument Package (LIP) were flown aboard the NASA ER-2 high-altitude aircraft as part of the Third Convection and Moisture Experiment (CAMEX-3) and the Fourth Convection and Moisture Experiment (CAMEX-4). Several hurricanes, tropical storms, and other precipitation systems were sampled during these experiments. An oceanic rainfall screening technique has been developed using AMPR passive microwave observations of these systems collected at frequencies of 10.7, 19.35, 37.1, and 85.5 GHz. This technique combines the information content of the four AMPR frequencies regarding the gross vertical structure of hydrometeors into an intuitive and easily executable precipitation mapping format. The results have been verified using vertical profiles of EDOP reflectivity and lower-altitude horizontal reflectivity scans collected by the NOAA WP-3D Orion radar. Matching the rainfall classification results with coincident electric field information collected by the LIP readily identifies convective rain regions within the precipitation fields. This technique shows promise as a real-time research and analysis tool for monitoring vertical updraft strength and convective intensity from airborne platforms such as remotely operated or uninhabited aerial vehicles. The technique is analyzed and discussed for a wide variety of precipitation types using the 26 August 1998 observations of Hurricane Bonnie near landfall.

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34

Nesbit, Paul, and Christopher Hugenholtz. "Enhancing UAV–SfM 3D Model Accuracy in High-Relief Landscapes by Incorporating Oblique Images." Remote Sensing 11, no. 3 (January 24, 2019): 239. http://dx.doi.org/10.3390/rs11030239.

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Complex landscapes with high topographic relief and intricate geometry present challenges for complete and accurate mapping of both lateral (x, y) and vertical (z) detail without deformation. Although small uninhabited/unmanned aerial vehicles (UAVs) paired with structure-from-motion (SfM) image processing has recently emerged as a popular solution for a range of mapping applications, common image acquisition and processing strategies can result in surface deformation along steep slopes within complex terrain. Incorporation of oblique (off-nadir) images into the UAV–SfM workflow has been shown to reduce systematic errors within resulting models, but there has been no consensus or documentation substantiating use of particular imaging angles. To address these limitations, we examined UAV–SfM models produced from image sets collected with various imaging angles (0–35°) within a high-relief ‘badland’ landscape and compared resulting surfaces with a reference dataset from a terrestrial laser scanner (TLS). More than 150 UAV–SfM scenarios were quantitatively evaluated to assess the effects of camera tilt angle, overlap, and imaging configuration on the precision and accuracy of the reconstructed terrain. Results indicate that imaging angle has a profound impact on accuracy and precision for data acquisition with a single camera angle in topographically complex scenes. Results also confirm previous findings that supplementing nadir image blocks with oblique images in the UAV–SfM workflow consistently improves spatial accuracy and precision and reduces data gaps and systematic errors in the final point cloud. Subtle differences among various oblique camera angles and imaging patterns suggest that higher overlap and higher oblique camera angles (20–35°) increased precision and accuracy by nearly 50% relative to nadir-only image blocks. We conclude by presenting four recommendations for incorporating oblique images and adapting flight parameters to enhance 3D mapping applications with UAV–SfM in high-relief terrain.

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35

Dufrene, W. R. "AI techniques in uninhabited aerial vehicle flight." IEEE Aerospace and Electronic Systems Magazine 19, no. 8 (August 2004): 8–12. http://dx.doi.org/10.1109/maes.2004.1346887.

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36

Lam, T. M., M. Mulder, and M. M. Van Paassen. "Haptic Feedback in Uninhabited Aerial Vehicle Teleoperation with Time Delay." Journal of Guidance, Control, and Dynamics 31, no. 6 (November 2008): 1728–39. http://dx.doi.org/10.2514/1.35340.

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37

Avanzini, Giulio, Salvatore D’Angelo, and Guido de Matteis. "Performance and Stability of Ducted-Fan Uninhabited Aerial Vehicle Model." Journal of Aircraft 40, no. 1 (January 2003): 86–93. http://dx.doi.org/10.2514/2.3061.

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38

Lam, T. M., M. Mulder, M. M. Van Paassen, J. A. Mulder, and F. C. T. van der Helm. "Force-Stiffness Feedback in Uninhabited Aerial Vehicle Teleoperation with Time Delay." Journal of Guidance, Control, and Dynamics 32, no. 3 (May 2009): 821–35. http://dx.doi.org/10.2514/1.40191.

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39

Luo, Qifang, angliang Li, and Yongquan Zhou. "A quantum encoding bat algorithm for uninhabited combat aerial vehicle path planning." International Journal of Innovative Computing and Applications 8, no. 3 (2017): 182. http://dx.doi.org/10.1504/ijica.2017.086642.

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40

Zhou, Yongquan, Liangliang Li, and Qifang Luo. "A quantum encoding bat algorithm for uninhabited combat aerial vehicle path planning." International Journal of Innovative Computing and Applications 8, no. 3 (2017): 182. http://dx.doi.org/10.1504/ijica.2017.10007702.

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41

Armutcuoglu, Ozlem, Mehmet Serif Kavsaoglu, and Ozan Tekinalp. "Tilt Duct Vertical Takeoff and Landing Uninhabited Aerial Vehicle Concept Design Study." Journal of Aircraft 41, no. 2 (March 2004): 215–23. http://dx.doi.org/10.2514/1.271.

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Avanzini, G., and G. de Matteis. "Design of the flight management system for a shrouded-fan uninhabited aerial vehicle." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 220, no. 5 (May 2006): 475–85. http://dx.doi.org/10.1243/09544100g02804.

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Wesler, Mary Mc, Jesse R. Lucas, Jennie J. Gallimore, and William P. Marshak. "Managing Uninhabited Aerial Vehicle (UAV) Information Employing a Reduced Area / Depth Separated Display." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 43, no. 1 (September 1999): 91–95. http://dx.doi.org/10.1177/154193129904300119.

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Brennison, M., R. M. Barrett, and L. Kerth. "Multistrand, Fast Reaction, Shape Memory Alloy System for Uninhabited Aerial Vehicle Flight Control." Smart Materials Research 2012 (July 29, 2012): 1–8. http://dx.doi.org/10.1155/2012/238314.

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This paper details an investigation of shape memory alloy (SMA) filaments which are used to drive a flight control system with precision control in a real flight environment. An antagonistic SMA actuator was developed with an integrated demodulator circuit from a JR NES 911 subscale UAV actuator. Most SMA actuator studies concentrate on modeling the open-loop characteristics of such a system with full actuator performance modeling. This paper is a bit different in that it is very practically oriented and centered on development of a flight-capable system which solves the most tricky, practical problems associated with using SMA filaments for aircraft flight control. By using well-tuned feedback loops, it is shown that intermediate SMA performance prediction is not appropriate for flight control system (FCS) design. Rather, capturing the peak behavior is far more important, along with appropriate feedback loop design. To prove the system, an SMA actuator was designed and installed in the fuselage of a 2 m uninhabited aerial vehicle (UAV) and used to control the rudder through slips and coordinated turns. The actuator was capable of 20 degrees of positive and negative deflection and was capable of 7.5 in-oz (5.29 N cm) of torque at a bandwidth of 2.8 Hz.

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Wang, Gaige, Lihong Guo, Hong Duan, Luo Liu, Heqi Wang, and Mingzhen Shao. "Path Planning for Uninhabited Combat Aerial Vehicle Using Hybrid Meta-Heuristic DE/BBO Algorithm." Advanced Science, Engineering and Medicine 4, no. 6 (December 1, 2012): 550–64. http://dx.doi.org/10.1166/asem.2012.1223.

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Navarro Roa, Jonnathan, Félix Parca Acevedo, and Giovani Mancilla Gaona. "Radar and UAV: georeferencing and airspace surveillance system." Visión electrónica 11, no. 2 (October 27, 2018): 190–99. http://dx.doi.org/10.14483/22484728.14627.

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A ¨RADAR¨ system, from the English Acronym ¨Radio Detention and Ranging¨. Better known as ¨Radio Detection and Location¨ RDL. It is a system for detecting and positioning objects through shipping and reflection of electromagnetic waves in terms of the time of issue and the return of the waves and their speed (calculated by the Doppler effect of the electromagnetic signal received). Meanwhile, an autonomous unmanned vehicle, also known as Unmanned Aerial Vehicle, UAV, which is defined as an aircraft which does not carry a human operator, and uses aerodynamic forces to provide airlift by itself. Therefore, it can fly autonomously or it can be operated by remote control. This article focuses on the review of experiences where these two technologies are integrated, particularly UAVSAR (Uninhabited Aerial Vehicle Synthetic Aperture Radar). This is done in order to support research concerning the combination thereof to be applied in georeferencing humanitarian missions or military missions that require monitoring of airspace.

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Gugerty, Leo, Ellen Hall, and William Tirre. "Designing a Simulation Environment for Uninhabited Aerial Vehicle (UAV) Operations Based on Cognitive Task Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 23 (October 1998): 1609. http://dx.doi.org/10.1177/154193129804202319.

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Simard, Marc, Scott Hensley, Marco Lavalle, Ralph Dubayah, Naiara Pinto, and Michelle Hofton. "An Empirical Assessment of Temporal Decorrelation Using the Uninhabited Aerial Vehicle Synthetic Aperture Radar over Forested Landscapes." Remote Sensing 4, no. 4 (April 2, 2012): 975–86. http://dx.doi.org/10.3390/rs4040975.

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Kiana, E., S. Homayouni, M. A. Sharifi, and M. Farid-Rohani. "UNSUPERVISED CHANGE DETECTION IN SAR IMAGES USING GAUSSIAN MIXTURE MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (December 11, 2015): 407–10. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-407-2015.

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In this paper, we propose a method for unsupervised change detection in Remote Sensing Synthetic Aperture Radar (SAR) images. This method is based on the mixture modelling of the histogram of difference image. In this process, the difference image is classified into three classes; negative change class, positive change class and no change class. However the SAR images suffer from speckle noise, the proposed method is able to map the changes without speckle filtering. To evaluate the performance of this method, two dates of SAR data acquired by Uninhabited Aerial Vehicle Synthetic from an agriculture area are used. Change detection results show better efficiency when compared to the state-of-the-art methods.

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Zhang, Bo, and Haibin Duan. "Three-Dimensional Path Planning for Uninhabited Combat Aerial Vehicle Based on Predator-Prey Pigeon-Inspired Optimization in Dynamic Environment." IEEE/ACM Transactions on Computational Biology and Bioinformatics 14, no. 1 (January 1, 2017): 97–107. http://dx.doi.org/10.1109/tcbb.2015.2443789.

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