Page 29 - Read Online
        P. 29
     Page 474                         Phadke et al. Intell Robot 2023;3:453-78  https://dx.doi.org/10.20517/ir.2023.27
               10.       Phadke A, Antonio Medrano F, Chu T. Engineering resiliency in UAV swarms-a bibliographic analysis. J Phys: Conf Ser
                    2022;2330:012007.  DOI
               11.       Wang J, Teng X, Li Z, Yu Q, Bian Y, Wei J. VSAI: A multi-view dataset for vehicle detection in complex scenarios using aerial
                    images. Drones 2022;6:161.  DOI
               12.       VOSviewer-visualizing scientific landscapes. Available from: https://www.vosviewer.com [Last accessed on 21 Sep 2023].
               13.       Iqbal U, Riaz MZB, Zhao J, Barthelemy J, Perez P. Drones for flood monitoring, mapping and detection: a bibliometric review.
                    Drones 2023;7:32.  DOI
               14.       Rodríguez M, Melgar SG, Cordero AS, Márquez JMA. A critical review of unmanned aerial vehicles (UAVs) use in architecture and
                    urbanism: scientometric and bibliometric analysis. Appl Sci 2021;11:9966.  DOI
               15.       Phadke A, Medrano FA. Towards resilient UAV swarms-a breakdown of resiliency requirements in UAV swarms. Drones
                    2022;6:340.  DOI
               16.       Abdelkader M, Güler S, Jaleel H, Shamma JS. Aerial swarms: recent applications and challenges. Curr Robot Rep 2021;2:309-20.
                    DOI  PubMed  PMC
               17.       Phadke A, Medrano FA, Sekharan CN, Chu T. Designing UAV Swarm experiments: a simulator selection and experiment design
                    process. Sensors 2023;23:7359.  DOI  PubMed  PMC
               18.       Merz M, Pedro D, Skliros V, et al. Autonomous UAS-based agriculture applications: general overview and relevant european case
                    studies. Drones 2022;6:128.  DOI
               19.       Pearson S, Camacho-villa TC, Valluru R, et al. Robotics and Autonomous systems for net zero agriculture. Curr Robot Rep
                    2022;3:57-64.  DOI
               20.       Lee HS, Shin BS, Thomasson JA, Wang T, Zhang Z, Han X. Development of multiple UAV collaborative driving systems for
                    improving field phenotyping. Sensors 2022;22:1423.  DOI  PubMed  PMC
               21.       Zhang W, Miao Z, Li N, He C, Sun T. Review of current robotic approaches for precision weed management. Curr Robot Rep
                    2022;3:139-51.  DOI  PubMed  PMC
               22.       Tsouros DC, Bibi S, Sarigiannidis PG. A review on UAV-based applications for precision agriculture. Information 2019;10:349.
                    DOI
               23.       Odonkor P, Ball Z, Chowdhury S. Distributed operation of collaborating unmanned aerial vehicles for time-sensitive oil spill
                    mapping. Swarm and Evolutionary Computation 2019;46:52-68.  DOI
               24.       Vasilijevic A, Calado P, Lopez-Castejon F, et al. Heterogeneous robotic system for underwater oil spill survey. Genova, Italy; 2015,
                    pp. 1-7.  DOI
               25.       Roldán JJ, Garcia-Aunon P, Garzón M, de León J, Del Cerro J, Barrientos A. Heterogeneous multi-robot system for mapping
                    environmental variables of greenhouses. Sensors 2016;16:1018.  DOI  PubMed  PMC
               26.       Goian A, Ashour R, Ahmad U, Taha T, Almoosa N, Seneviratne L. Victim localization in USAR scenario exploiting multi-layer
                    mapping structure. Remote Sens 2019;11:2704.  DOI
               27.       Cardona GA, Calderon JM. Robot Swarm navigation and victim detection using rendezvous consensus in search and rescue
                    operations. Appl Sci 2019;9:1702.  DOI
               28.       Siemiatkowska B, Stecz W. A framework for planning and execution of drone swarm missions in a hostile environment. Sensors
                    2021;21:4150.  DOI  PubMed  PMC
               29.       Gans NR, Rogers JG. Cooperative multirobot systems for military applications. Curr Robot Rep 2021;2:105-11.  DOI
               30.       Ko Y, Kim J, Duguma DG, Astillo PV, You I, Pau G. Drone secure communication protocol for future sensitive applications in
                    military zone. Sensors 2021;21:2057.  DOI  PubMed  PMC
               31.       Nex F, Duarte D, Steenbeek A, Kerle N. Towards real-time building damage mapping with low-cost UAV solutions. Remote Sens
                    2019;11:287.  DOI
               32.       Zhang R, Li H, Duan K, et al. Automatic detection of earthquake-damaged buildings by integrating UAV oblique photography and
                    infrared thermal imaging. Remote Sens 2020;12:2621.  DOI
               33.       Nagasawa R, Mas E, Moya L, Koshimura S. Model-based analysis of multi-UAV path planning for surveying postdisaster building
                    damage. Sci Rep 2021;11:18588.  DOI  PubMed  PMC
               34.       Outay F, Mengash HA, Adnan M. Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure
                    management: Recent advances and challenges. Transp Res Part A Policy Pract 2020;141:116-29.  DOI  PubMed  PMC
               35.       Klaine PV, Nadas JPB, Souza RD, Imran MA. Distributed drone base station positioning for emergency cellular networks using
                    reinforcement learning. Cognit Comput 2018;10:790-804.  DOI  PubMed  PMC
               36.       Hydher H, Jayakody DNK, Hemachandra KT, Samarasinghe T. Intelligent UAV Deployment for a disaster-resilient wireless
                    network. Sensors 2020;20:6140.  DOI  PubMed  PMC
               37.       Ferrag MA, Maglaras L. Deliverycoin: an ids and blockchain-based delivery framework for drone-delivered services. Computers
                    2019;8:58.  DOI
               38.       Rinaldi M, Primatesta S, Bugaj M, Rostáš J, Guglieri G. Development of heuristic approaches for last-mile delivery tsp with a truck
                    and multiple drones. Drones 2023;7:407.  DOI
               39.       Phadke A, Ustymenko S. Updating the taxonomy of intrusion detection systems. in proceedings of the 2021 IEEE 45th annual
                    computers, software, and applications conference (COMPSAC). Madrid, Spain; 2021.pp.1085-91.  DOI
               40.       Miao Y, Tang Y, Alzahrani BA, Barnawi A, Alafif T, Hu L. Airborne LiDAR assisted obstacle recognition and intrusion detection
     	
