Relevant bibliographies by topics / Reconnaissance drone

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Reconnaissance drone'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Reconnaissance drone"

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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.

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Do, Sangwon, Myeongjae Lee, and Jong-Seon Kim. "The Effect of a Flow Field on Chemical Detection Performance of Quadrotor Drone." Sensors 20, no. 11 (2020): 3262. http://dx.doi.org/10.3390/s20113262.

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The determination of a suitable sensor location on quadrotor drones is a very important issue for chemical reconnaissance platforms because the magnitude and direction of air velocity is different for each location. In this study, we investigated a customized chemical reconnaissance system consisting of a quadrotor drone and a chip-sized chemical sensor for detecting dimethyl-methylphosphonate (DMMP; a Sarin simulant) and investigated the chemical detection properties with respect to the sensor position through indoor experiments and particle image velocimetry (PIV) analysis of the system. The
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Valentino, 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 (2018): 3751. http://dx.doi.org/10.3390/s18113751.

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Drones have recently become extremely popular, especially in military and civilian applications. Examples of drone utilization include reconnaissance, surveillance, and packet delivery. As time has passed, drones’ tasks have become larger and more complex. As a result, swarms or clusters of drones are preferred, because they offer more coverage, flexibility, and reliability. However, drone systems have limited computing power and energy resources, which means that sometimes it is difficult for drones to finish their tasks on schedule. A solution to this is required so that drone clusters can c
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Kolamunna, Harini, Thilini Dahanayaka, Junye Li, et al. "DronePrint." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 1 (2021): 1–31. http://dx.doi.org/10.1145/3448115.

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With the ubiquitous availability of drones, they are adopted benignly in multiple applications such as cinematography, surveying, and legal goods delivery. Nonetheless, they are also being used for reconnaissance, invading personal or secure spaces, harming targeted individuals, smuggling drugs and contraband, or creating public disturbances. These malicious or improper use of drones can pose significant privacy and security threats in both civilian and military settings. Therefore, it is vital to identify drones in different environments to assist the decisions on whether or not to contain un
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Zhang, Ge, Kangli Ma, and Chang Liu. "A DroneGo Disaster Relief Response System." Remote Sensing 9, no. 1 (2020): 6. http://dx.doi.org/10.18282/rs.v9i1.1094.

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<p>To support the Puerto Rico hurricane disaster scenario, we develop a DroneGo disaster response system by establishing the following models. First, we establish a location analysis model for ISO containers based on the coverage of video reconnaissance and the priority comparison between the two required missions–medical supply delivery and video reconnaissance. According to the locations of 11 harbors in Puerto Rico, we select three suitable harbors to position three cargo containers called CON 1, 2 and 3 to conduct the missions. Second, we build two packing configuration models to des
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Gardner, P., and C. R. Day. "Options for Control and Navigation of Unmanned Aircraft." Journal of Navigation 45, no. 3 (1992): 352–68. http://dx.doi.org/10.1017/s0373463300010936.

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Whilst unmanned aircraft (UMA) can be said to encompass missiles, targets for weapon training, preprogrammed reconnaissance drones and civilian systems such as radio-controlled models used to carry cameras, for the purpose of this paper we will restrict ourselves to aircraft which are capable of sustaining autonomous flight and accepting navigation commands whilst airborne. The terms applied to unmanned aircraft are variously UMA, remotely piloted vehicle (RPV), Drone and Unmanned Aerial Vehicle (UAV).
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Kindervater, Katharine Hall. "The emergence of lethal surveillance: Watching and killing in the history of drone technology." Security Dialogue 47, no. 3 (2016): 223–38. http://dx.doi.org/10.1177/0967010615616011.

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This article examines the history of the development of drone technology to understand the longer histories of surveillance and targeting that shape contemporary drone warfare. Drawing on archival research, the article focuses on three periods in the history of the drone: the early years during World Wars I and II, the Cold War, and the 1990s. The history of the drone reveals two key trends in Western warfare: the increasing importance of intelligence, surveillance, and reconnaissance (ISR) and the development of dynamic targeting. These trends converge today in a practice of lethal surveillan
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Sulkowski, 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 (2018): 107–18. http://dx.doi.org/10.2478/jok-2018-0049.

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Abstract Commercially available drone type unmanned aerial vehicles (UAV), as well as parts and subsystems enabling the assemble of UAVs, are becoming more and more widely available, and their performance is constantly improving. The current possibilities of a drone assembled by a hobbyist predispose are not only to be used as a reconnaissance tool but also as a guided missile. The use of a camera with a video stream transmitter simultaneously with virtual reality goggles and video stream receiver gives the pilot an impression of being on the drone, which makes it possible to control it with e
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Jafari, 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.

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Hurricane Laura made landfall on the southwest Louisiana coast near Cameron, LA on August 26th. As Laura approached the Louisiana coast, the Coastal Emergency Risks Assessment predicted a storm surge of approximately 5.2 m (17 ft), which marked the strongest surge to impact southwest Louisiana since the catastrophic Hurricane Rita in 2005. As a result, a team led by LSU and NEU mobilized to deploy surge and wave sensors and collect drone imagery at Rockefeller Wildlife Refuge and Cameron, LA on August 25th before the arrival of tropical storm winds. Rockefeller Refuge was selected to measure t
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Neroba, 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.

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Object of research: comparative assessment and selection of an unmanned aerial vehicle for mine reconnaissance sample.
 Investigated problem: substantiation of the methodological apparatus for comparative assessment and selection of an unmanned aerial vehicle for mine reconnaissance sample, taking into consideration the presence of both quantitative and qualitative indicators.
 Main scientific results: the methods of comparative assessment and selection of an unmanned aerial vehicle for mine reconnaissance sample is developed. The technique is based on an expert method, which allows
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Dissertations / Theses on the topic "Reconnaissance drone"

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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.

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The Arizona Autonomous Club is a student organization at the University of Arizona which designs, builds, and competes with Unmanned Air Systems (UAS). This year, a 25% scale Xtreme Decathlon model aircraft was selected and successfully converted into a fully autonomous UAS for the AUVSI Student Unmanned Aerial Systems (SUAS) 2017 competition. The UAS utilizes a Pixhawk autopilot unit, which is an independent, open-hardware project aiming at providing high-end autopilot hardware at low costs and high availability. The Pixhawk runs an efficient real time operating system (RTOS) and includes sen
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Raffetto, 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.

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Gerhardt, 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.

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Jackson, 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.

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Jenkins, 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.

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MBA Professional Report<br>The 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
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Nilsson, Patrik. "Blända kommersiella UAV:er med laservapen." Thesis, Försvarshögskolan, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:fhs:diva-6773.

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Försvarsmakten har idag problem under övningar med oidentifierade UAV:er som befinner sig över övningsområdet. UAV:er som har möjlighet till att spana på övningar och kartlägga infrastruktur och förmågor. Denna uppsats syftar till att undersöka vilka möjligheter en handhållen laserpekare skulle skapa för att motverka problemet med UAV:er som befinner sig över övningsområden alternativt intill skyddsobjekt. Tanken med att undersöka handhållna laserpekare är att handhållna laserpekare inte är stora, tunga eller energikrävande. Detta skulle möjliggöra att sprida dem inom Försvarsmakten till samtl
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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.

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Louargant, Marine. "Proxidétection des adventices par imagerie aérienne : vers un service de gestion par drone." Thesis, Dijon, 2016. http://www.theses.fr/2016DIJOS029/document.

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Le contexte agricole actuel vise à réduire l’utilisation des produits phytosanitaires sur les parcelles. Dans ce cadre, la gestion des adventices consommant de grandes quantités d’herbicides est devenue une problématique majeure. Afin de mettre en place un outil de gestion localisée des adventices par drone, cette thèse étudie l’adaptation du système d’acquisition (drone + dispositif multispectral) actuellement proposé par AIRINOV à la détection des adventices sur des cultures sarclées. La chaîne d’acquisition a été modélisée afin d’évaluer l’impact de différents paramètres du modèle (filtres
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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.

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Le principe du “Voir et Eviter” est un principe essentiel pour la sécurité de l'espace aérienet nécessaire pour l'insertion des drones dans la Circulation Aérienne Générale (CAG). Lessolutions actuelles ne permettent pas toujours d'appliquer le principe du "Voir et Eviter" etn'assurent pas, par leurs actions d'évitements, une cohabitation sans risques des drones et desavions pilotés dans la CAG. Ces mêmes solutions ne permettent pas, avec un seul capteurpassif, la détermination, à tout moment, du temps restant avant collision. Ce temps estessentiel pour qualifier la dangerosité de la situation
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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.

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La connaissance de l'attitude, de l'altitude, de la segmentation du sol et du mouvement est essentielle pour la navigation d'un drone, en particulier durant les phases critiques de décollage et d'atterrissage. Dans ce travail de thèse, nous présentons un système stéréoscopique hybride composé d'une caméra fisheye et d'une caméra perspective pour estimer les paramètres de navigation d'un drone. À partir de ce capteur, une approche systémique est proposée. Contrairement aux méthodes classiques de stéréovision basées sur l'appariement de primitives, nous proposons des méthodes qui évitent toute m
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Books on the topic "Reconnaissance drone"

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Blom, John David. Manned and unmanned aerial reconnaissance in the US Army, 1917-2008. Combat Studies Institute Press US Army Combined Arms Center, 2009.

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Bill, Gunston. Jian die fei ji: Spy planes & electronic warfare aircraft. Mai tian chu ban gu fen yu xian gong si, 1997.

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Office, General Accounting. Unmanned aerial vehicles: Outrider demonstrations will be inadequate to justify further production : report to the Secretary of Defense. The Office, 1997.

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Office, General Accounting. Unmanned aerial vehicles: Progress of the Global Hawk Advanced Concept Technology Demonstration : report to congressional committees. The Office, 2000.

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Office, 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. The Office, 2000.

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Office, General Accounting. Unmanned aerial vehicles: No more Hunter systems should be bought until problems are fixed : report to the Secretary of Defense. The Office, 1995.

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Office, 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. The Office, 1993.

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Office, 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. The Office, 1992.

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Subcommittee, 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. U.S. G.P.O., 2007.

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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. U.S. G.P.O., 2007.

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Book chapters on the topic "Reconnaissance drone"

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Paucar, Carlos, Lilia Morales, Katherine Pinto, et al. "Use of Drones for Surveillance and Reconnaissance of Military Areas." In Smart Innovation, Systems and Technologies. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78605-6_10.

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Radjawali, Irendra, Oliver Pye, and Michael Flitner. "Recognition through reconnaissance? Using drones for counter-mapping in Indonesia." In De-centring Land Grabbing. Routledge, 2019. http://dx.doi.org/10.4324/9781351134873-6.

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Auslander, Leora, and Tara Zahra. "Epilogue." In Objects of War. Cornell University Press, 2018. http://dx.doi.org/10.7591/cornell/9781501720079.003.0012.

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This epilogue argues that war is a profound reminder of human materiality and fragility. Conflicts are made and decided through the interaction of human beings and the material world. The inquiries started in this book offer the foundation for a historically informed investigation of this interaction in the new forms of warfare in an age in which the virtual often seems to have more presence than the material. Indeed, new technologies have radically changed the materiality of war. Rather than physically encountering the enemy on the battlefield or entering homes as they invade enemy territory, for example, many soldiers are now sitting thousands of miles away launching missiles or operating drones that do first the reconnaissance and then the killing for them.
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Conference papers on the topic "Reconnaissance drone"

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Bluman, James, Davonte Carter Vault, Wei Kang Soon, et al. "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.

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Abstract Extending the long-range capabilities of unmanned aerial systems (UAS) is paramount to protecting small Soldier teams operating in remote battlefield scenarios. Currently, many small Unmanned Aerial Systems (sUAS) reconnaissance assets have the range necessary to facilitate small-unit missions. The purpose of this paper is to detail the design and testing of a system that fills this capability gap by creating folding-wing drones designed to be aerially deployed from an airdropped dispenser. The dispenser is attached to the Joint Precision Airdrop System (JPADS), which is an autonomous
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Cook, 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.

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Bürkle, 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.

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Blank, 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.

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Chan, 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}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/596.

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Standard disaster response involves using drones (or helicopters) for reconnaissance and using people on the ground to mitigate the damage. In this paper, we look at the problem of wildfires and propose an efficient resource allocation strategy to cope with both dynamically changing environment and uncertainty. In particular, we propose Firefly, a new resource allocation algorithm, that can provably achieve optimal or near optimal solutions with high probability by first efficiently allocating observation drones to collect information to reduce uncertainty, and then allocate the firefighting u
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