Academic literature on the topic 'Reconnaissance drone'
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Journal articles on the topic "Reconnaissance drone"
Guo, Yinjing, Jianhua Zhang, Yuanyuan Ju, and Xiaohan Guo. "Climbing Reconnaissance Drone Design." IOP Conference Series: Materials Science and Engineering 452 (December 13, 2018): 042060. http://dx.doi.org/10.1088/1757-899x/452/4/042060.
Full textDo, Sangwon, Myeongjae Lee, and Jong-Seon Kim. "The Effect of a Flow Field on Chemical Detection Performance of Quadrotor Drone." Sensors 20, no. 11 (June 8, 2020): 3262. http://dx.doi.org/10.3390/s20113262.
Full textValentino, Rico, Woo-Sung Jung, and Young-Bae Ko. "A Design and Simulation of the Opportunistic Computation Offloading with Learning-Based Prediction for Unmanned Aerial Vehicle (UAV) Clustering Networks." Sensors 18, no. 11 (November 2, 2018): 3751. http://dx.doi.org/10.3390/s18113751.
Full textKolamunna, Harini, Thilini Dahanayaka, Junye Li, Suranga Seneviratne, Kanchana Thilakaratne, Albert Y. Zomaya, and Aruna Seneviratne. "DronePrint." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 1 (March 19, 2021): 1–31. http://dx.doi.org/10.1145/3448115.
Full textZhang, Ge, Kangli Ma, and Chang Liu. "A DroneGo Disaster Relief Response System." Remote Sensing 9, no. 1 (August 12, 2020): 6. http://dx.doi.org/10.18282/rs.v9i1.1094.
Full textGardner, P., and C. R. Day. "Options for Control and Navigation of Unmanned Aircraft." Journal of Navigation 45, no. 3 (September 1992): 352–68. http://dx.doi.org/10.1017/s0373463300010936.
Full textKindervater, Katharine Hall. "The emergence of lethal surveillance: Watching and killing in the history of drone technology." Security Dialogue 47, no. 3 (January 25, 2016): 223–38. http://dx.doi.org/10.1177/0967010615616011.
Full textSulkowski, Jarosław, Janusz Błaszczyk, Adam Grzybowski, Kacper Karcz, and Paweł Kowaleczko. "Investigations of the susceptibility of unmanned aerial vehicles on intensive microwave radiation." Journal of KONBiN 48, no. 1 (December 1, 2018): 107–18. http://dx.doi.org/10.2478/jok-2018-0049.
Full textJafari, Navid H., Qin Chen, and Jack Cadigan. "RAPID DEPLOYMENT AND POST-STORM RECONNAISSANCE OF HURRICANE LAURA." Coastal Engineering Proceedings, no. 36v (December 28, 2020): 60. http://dx.doi.org/10.9753/icce.v36v.waves.60.
Full textNeroba, Vadym. "DEVELOPMENT OF METHODS FOR ASSESSMENT AND SELECTION OF UNMANNED AERIAL VEHICLE FOR MINE RECONNAISSANCE." ScienceRise, no. 5 (November 11, 2020): 44–50. http://dx.doi.org/10.21303/2313-8416.2020.001496.
Full textDissertations / Theses on the topic "Reconnaissance drone"
Hung, David, Cinthya Tang, Coby Allred, Kennon McKeever, James Murphy, and Ricky Herriman. "AUTONOMOUS GROUND RECONNAISSANCE DRONE USING ROBOT OPERATING SYSTEM (ROS)." International Foundation for Telemetering, 2017. http://hdl.handle.net/10150/627005.
Full textRaffetto, Mark. "Unmanned aerial vehicle contributions to intelligence, surveillance, and reconnaissance missions for expeditionary operations." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sep%5FRaffetto.pdf.
Full textGerhardt, Damon. "Feature-based mini unmanned air vehicle video Euclidean stabilization with local mosaics /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1698.pdf.
Full textJackson, Joseph A. "Panoramic video for efficient ground surveillance from small unmanned air vehicles /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1811.pdf.
Full textJenkins, Glenn E., and William J. Snodgrass. "The Raven Small Unmanned Aerial Vehicle (SUAV), investigating potential dichotomies between doctrine and practice." Monterey, California. Naval Postgraduate School, 2005. http://hdl.handle.net/10945/834.
Full textThe goal of this MBA Project is to investigate possible disconnects between doctrine and practice in the employment of the Raven Small Unmanned Aerial Vehicle (SUAV). The Army's current Small UAV requirements are based upon the Future Combat System's Operations Requirements Document and has not been validated at the platoon or company level. The Raven SUAV is a Commercial off the Shelf (COTS) item that swiftly became the Army's Small UAV of choice for operations in Afghanistan and Iraq. Doctrine and Techniques, Tactics, and Procedures (TTP) have been written for the Raven SUAV; however, it is not standard practice for all units operating the system abroad. The last review of the SUAV operational requirements was conducted in 2003 but did not specifically address its usage on the battlefield. In an attempt to fill that gap, this project focuses on real-world usage of the Raven SUAV system. We compare doctrine versus practice using the Department of Defense's (DOD) Doctrine, Organization, Training, Material, Leadership, Personnel, Facilities (DOTML-PF) model as the primary logic construct. The report begins by providing a background of the Raven SUAV, to include its evolution from a COTS item to the Army's SUAV of choice, and how it has impacted the warfighter. Next, the authors provide an overview of DOTML-PF in order to provide a basis for comparing doctrine and practice. The study then looks in-depth at doctrine and practice using DOTML-PF as the model for revealing differences between the two. Finally, the authors analyze these differences and recommend solutions to mitigate shortfalls in actual Raven SUAV usage on the battlefield.--p. i.
Nilsson, Patrik. "Blända kommersiella UAV:er med laservapen." Thesis, Försvarshögskolan, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:fhs:diva-6773.
Full textThe Swedish Armed Forces today have problems during exercises with unidentified UAVs located over the exercise area. UAVs which can observe exercises and map infrastructure and abilities. This paper aims to investigate what capabilities a handheld laser pointer would create to counteract the problem of UAVs that are located over training areas or adjacent to protected area. The thought of examining handheld laser pointers is that handheld laser pointers are not large, heavy or energy-intensive, which would enable them to spread within the Armed Forces to all services. Experiments with different handheld laser pointers are performed to investigate the effects they give at a certain distance. Experiments are also carried out to check at which distances a specific UAV can perform reconnaissance assignments, as well as the ability to detect a UAV at various distances with and without aids. The experiments showed that if the observer is aware of the direction of the UAV, it is possible to detect it at 600m distance with aids and at 500m without. The experiments also showed that laser gives a glare effect at 75m which is not close to a UAV's possible reconnaissance distances.
Poh, Seng Cheong Telly. "Simulations of diversity techniques for urban UAV data links." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Dec%5FPoh.pdf.
Full textLouargant, Marine. "Proxidétection des adventices par imagerie aérienne : vers un service de gestion par drone." Thesis, Dijon, 2016. http://www.theses.fr/2016DIJOS029/document.
Full textThe agricultural framework aims to reduce pesticide use on fields. Weed management, which is highly herbicide consuming, became a great issue. In order to develop a weed management service using UAV, this PhD dissertation studies how to adapt the acquisition system (UAV + multispectral camera) developed by AIRINOV to detect weeds in row crops. The acquisition chain was modeled to assess some of its parameters (optical filters and spatial resolution) impact on weed detection quality. Orthoimages and orthorectified images were created using a multispectral camera (4 to 8 filters) with 6 mm to 6 cm spatial resolutions. Several weed location methods were specifically developed to study multispectral images acquired by UAV. They are based on 1) the analysis of vegetation spatial distribution (row detection using the Hough transform and shape analysis), 2) spectral classification of pixels (supervised methods: LDA, QDA, Mahalanobis distance, SVM). In order to improve weed detection, a spectral classification based on training data deduced from spatial analysis was then proposed.Weed infestation maps and recommendation for spot spraying applications were then produced
Gigan, Daniel. "Modélisation des comportements d'un pilote expert en situation de collision en vol vers une nouvelle technologie "voir et éviter" pour les drones : Pour un fonctionnalisme holistique à vocation intégrative." Thesis, Toulouse, ISAE, 2013. http://www.theses.fr/2013ESAE0022.
Full textThe aim of this doctoral thesis is the modeling of expert pilot behaviors in flight collisions. This modeling gives the first echnologic steps to elaborate a new "sense and avoid" system allowing the future integration of Unmanned Air Vehicles in eneral air traffic. The proposed modeling is the result of global and holistic way and describes the cognitive process and he architecture of systems allowing the expression of these cognitive processes. This model allows solving the collision problem thanks to an observable and adapted piloted behavior. Besides a generic modeling of cognitive process of ategorization has been built and based on non linear regression theory and numeric methods for the resolution of ptimization problems.hanks to this global modeling, this new "sense and avoid" system is made of a simple passive optic sensor and it emulates he detection process, the recognition process and the and the actions selection process allowing the resolution of collision problem by a adapted piloted behavior. Thanks to the generic categorization modeling, the main technologic result is to be ble to determinate the Time To Collision (ITC) with a passive sensor. The determination of the TTC is essential for the 'sense and avoid" systems to get the level safety certification required to integrate drones in general air traffic
Damien, Eynard. "Capteur de stéréovision hybride pour la navigation des drones." Phd thesis, Université de Picardie Jules Verne, 2011. http://tel.archives-ouvertes.fr/tel-00652615.
Full textBooks on the topic "Reconnaissance drone"
Blom, John David. Manned and unmanned aerial reconnaissance in the US Army, 1917-2008. Fort Leavenworth, Kan: Combat Studies Institute Press US Army Combined Arms Center, 2009.
Find full textBill, Gunston. Jian die fei ji: Spy planes & electronic warfare aircraft. Taibei Shi: Mai tian chu ban gu fen yu xian gong si, 1997.
Find full textOffice, General Accounting. Unmanned aerial vehicles: Outrider demonstrations will be inadequate to justify further production : report to the Secretary of Defense. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 1997.
Find full textOffice, General Accounting. Unmanned aerial vehicles: Progress of the Global Hawk Advanced Concept Technology Demonstration : report to congressional committees. Washington, D.C. (P.O. Box 37050, Washington 20013): The Office, 2000.
Find full textOffice, General Accounting. Unmanned aerial vehicles: Questionable basis for revisions to Shadow 200 acquisition strategy : report to the Chairman, Subcommittee on Military Research and Development, Committee on Armed Services, House of Representatives. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 2000.
Find full textOffice, General Accounting. Unmanned aerial vehicles: No more Hunter systems should be bought until problems are fixed : report to the Secretary of Defense. Washington, D.C: The Office, 1995.
Find full textOffice, General Accounting. Unmanned aerial vehicles: Performance of short-range system still in question : report to the Chairman, Legislation and National Security Subcommittee, Committee on Government Operations, House of Representatives. Washington, D.C: The Office, 1993.
Find full textOffice, General Accounting. Unmanned aerial vehicles: More testing needed before production of short-range system : report to the Chairman, Legislation and National Security Subcommittee, Committee on Government Operations, House of Representatives. Washington, D.C: The Office, 1992.
Find full textSubcommittee, United States Congress House Committee on Armed Services Tactical Air and Land Forces. Hearing on National Defense Authorization Act for Fiscal Year 2007 and previously authorized programs before the Committee on Armed Services, House of Representatives, One Hundred Ninth Congress, second session: Tactical Air and Land Forces Subcommittee hearing on budget request : unmanned aerial vehicles and intelligence, surveillance, and reconnaissance capabilities, hearing held, April 6, 2006. Washington: U.S. G.P.O., 2007.
Find full textHearing on National Defense Authorization Act for Fiscal Year 2007 and previously authorized programs before the Committee on Armed Services, House of Representatives, One Hundred Ninth Congress, second session: Tactical Air and Land Forces Subcommittee hearing on budget request : unmanned aerial vehicles and intelligence, surveillance, and reconnaissance capabilities, hearing held, April 6, 2006. Washington: U.S. G.P.O., 2007.
Find full textBook chapters on the topic "Reconnaissance drone"
Paucar, Carlos, Lilia Morales, Katherine Pinto, Marcos Sánchez, Rosalba Rodríguez, Marisol Gutierrez, and Luis Palacios. "Use of Drones for Surveillance and Reconnaissance of Military Areas." In Smart Innovation, Systems and Technologies, 119–32. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78605-6_10.
Full textRadjawali, Irendra, Oliver Pye, and Michael Flitner. "Recognition through reconnaissance? Using drones for counter-mapping in Indonesia." In De-centring Land Grabbing, 120–36. Routledge, 2019. http://dx.doi.org/10.4324/9781351134873-6.
Full textAuslander, Leora, and Tara Zahra. "Epilogue." In Objects of War, 309–18. Cornell University Press, 2018. http://dx.doi.org/10.7591/cornell/9781501720079.003.0012.
Full textConference papers on the topic "Reconnaissance drone"
Bluman, James, Davonte Carter Vault, Wei Kang Soon, Ruth Talbott, Jonathan Willis, Andrew Kopeikin, and Ekaterina Prosser. "Autonomous Drone Delivery From Airdrop Systems (ADDAS): Aerially Deploying Folding-Wing Drones for Ground Reconnaissance." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24046.
Full textCook, Joseph P., Brian F. Gootee, and Ann M. Youberg. "FLY A DRONE, TAKE SOME PICTURES, MAKE A MAP. APPLICATIONS OF UAVS IN GEOLOGIC MAPPING, RECONNAISSANCE, AND EDUCATING THE PUBLIC." In Joint 70th Annual Rocky Mountain GSA Section / 114th Annual Cordilleran GSA Section Meeting - 2018. Geological Society of America, 2018. http://dx.doi.org/10.1130/abs/2018rm-313958.
Full textBürkle, Axel. "Collaborating miniature drones for surveillance and reconnaissance." In SPIE Europe Security + Defence, edited by Edward M. Carapezza. SPIE, 2009. http://dx.doi.org/10.1117/12.830408.
Full textBlank, Glenn D. "Multi-Level Re-Planning For Reconnaissance Drones." In Applications of Artificial Intelligence V, edited by John F. Gilmore. SPIE, 1987. http://dx.doi.org/10.1117/12.940644.
Full textChan, Hau, Long Tran-Thanh, and Vignesh Viswanathan. "Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/596.
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