{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T22:37:29Z","timestamp":1776119849422,"version":"3.50.1"},"reference-count":176,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2023,6,25]],"date-time":"2023-06-25T00:00:00Z","timestamp":1687651200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Research Centre for Unmanned Autonomous Systems (RCUAS)","award":["P0046487"],"award-info":[{"award-number":["P0046487"]}]},{"name":"Hong Kong Polytechnic University","award":["P0046487"],"award-info":[{"award-number":["P0046487"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In recent years, unmanned aerial vehicles (UAVs) have gained popularity due to their flexibility, mobility, and accessibility in various fields, including search and rescue (SAR) operations. The use of UAVs in SAR can greatly enhance the task success rates in reaching inaccessible or dangerous areas, performing challenging operations, and providing real-time monitoring and modeling of the situation. This article aims to help readers understand the latest progress and trends in this field by synthesizing and organizing papers related to UAV search and rescue. An introduction to the various types and components of UAVs and their importance in SAR operations is settled first. Additionally, we present a comprehensive review of sensor integrations in UAVs for SAR operations, highlighting their roles in target perception, localization, and identification. Furthermore, we elaborate on the various applications of UAVs in SAR, including on-site monitoring and modeling, perception and localization of targets, and SAR operations such as task assignment, path planning, and collision avoidance. We compare different approaches and methodologies used in different studies, assess the strengths and weaknesses of various approaches, and provide insights on addressing the research questions relating to specific UAV operations in SAR. Overall, this article presents a comprehensive overview of the significant role of UAVs in SAR operations. It emphasizes the vital contributions of drones in enhancing mission success rates, augmenting situational awareness, and facilitating efficient and effective SAR activities. Additionally, the article discusses potential avenues for enhancing the performance of UAVs in SAR.<\/jats:p>","DOI":"10.3390\/rs15133266","type":"journal-article","created":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T03:14:56Z","timestamp":1687749296000},"page":"3266","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":305,"title":["Unmanned Aerial Vehicles for Search and Rescue: A Survey"],"prefix":"10.3390","volume":"15","author":[{"given":"Mingyang","family":"Lyu","sequence":"first","affiliation":[{"name":"Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China"}]},{"given":"Yibo","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Automation, Harbin Institute of Technology, Shenzhen 518055, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3023-4388","authenticated-orcid":false,"given":"Chao","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2667-6423","authenticated-orcid":false,"given":"Hailong","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China"},{"name":"Research Institute for Sports Science and Technology, The Hong Kong Polytechnic University, Hong Kong 999077, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3437","DOI":"10.1007\/s10064-020-01766-2","article-title":"The use of unmanned aerial vehicles (UAVs) for engineering geology applications","volume":"79","author":"Giordan","year":"2020","journal-title":"Bull. Eng. Geol. Environ."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Niedzielski, T., Jurecka, M., Mizi\u0144ski, B., Pawul, W., and Motyl, T. (2021). First Successful Rescue of a Lost Person Using the Human Detection System: A Case Study from Beskid Niski (SE Poland). Remote Sens., 13.","DOI":"10.3390\/rs13234903"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Giordan, D., Dematteis, N., and Troilo, F. (2020, January 4\u20138). UAV observation of the recent evolution of the Planpincieux Glacier (Mont Blanc-Italy). Proceedings of the EGU General Assembly Conference Abstracts, Online.","DOI":"10.5194\/egusphere-egu2020-9906"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1080\/19475705.2016.1238852","article-title":"Multipurpose UAV for search and rescue operations in mountain avalanche events","volume":"8","author":"Silvagni","year":"2017","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Bejiga, M.B., Zeggada, A., and Melgani, F. (2016, January 10\u201315). Convolutional neural networks for near real-time object detection from UAV imagery in avalanche search and rescue operations. Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China.","DOI":"10.1109\/IGARSS.2016.7729174"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Bejiga, M.B., Zeggada, A., Nouffidj, A., and Melgani, F. (2017). A Convolutional Neural Network Approach for Assisting Avalanche Search and Rescue Operations with UAV Imagery. Remote Sens., 9.","DOI":"10.3390\/rs9020100"},{"key":"ref_7","first-page":"396","article-title":"A review on marine search and rescue operations using unmanned aerial vehicles","volume":"9","author":"Yeong","year":"2015","journal-title":"Int. J. Mar. Environ. Sci."},{"key":"ref_8","first-page":"49","article-title":"Expert guidance system for unmanned aerial vehicles based on artifical neural networks","volume":"8","author":"Besada","year":"2011","journal-title":"J. Marit. Res."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Rodin, C.D., de Lima, L.N., de Alcantara Andrade, F.A., Haddad, D.B., Johansen, T.A., and Storvold, R. (2018, January 8\u201313). Object Classification in Thermal Images using Convolutional Neural Networks for Search and Rescue Missions with Unmanned Aerial Systems. Proceedings of the 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil.","DOI":"10.1109\/IJCNN.2018.8489465"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"012020","DOI":"10.1088\/1742-6596\/2115\/1\/012020","article-title":"Unmanned aerial systems in search and rescue applications with their path planning: A review","volume":"2115","author":"Ajith","year":"2021","journal-title":"J. Phys. Conf. Ser."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Seddon, J.M., and Newman, S. (2011). Basic Helicopter Aerodynamics, John Wiley & Sons.","DOI":"10.1002\/9781119994114"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1016\/j.mechatronics.2011.02.002","article-title":"Design and implementation of a robust and nonlinear flight control system for an unmanned helicopter. Special Issue on Development of Autonomous Unmanned Aerial Vehicles","volume":"21","author":"Cai","year":"2011","journal-title":"Mechatronics"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"911","DOI":"10.2514\/1.C032043","article-title":"Simultaneous Helicopter and Control-System Design","volume":"50","author":"Oktay","year":"2013","journal-title":"J. Aircr."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Hoffmann, G., Huang, H., Waslander, S., and Tomlin, C. (2007, January 20\u201323). Quadrotor Helicopter Flight Dynamics and Control: Theory and Experiment. Proceedings of the AIAA Guidance, Navigation and Control Conference and Exhibit, Hilton Head, SC, USA.","DOI":"10.2514\/6.2007-6461"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Fernando, H.C.T.E., De Silva, A.T.A., De Zoysa, M.D.C., Dilshan, K.A.D.C., and Munasinghe, S.R. (2013, January 17\u201320). Modelling, simulation and implementation of a quadrotor UAV. Proceedings of the 2013 IEEE 8th International Conference on Industrial and Information Systems, Peradeniya, Sri Lanka.","DOI":"10.1109\/ICIInfS.2013.6731982"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/j.ast.2013.04.005","article-title":"Design, performance evaluation and optimization of a UAV","volume":"29","author":"Kontogiannis","year":"2013","journal-title":"Aerosp. Sci. Technol."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Harvey, B., and O\u2019Young, S. (2018). Acoustic Detection of a Fixed-Wing UAV. Drones, 2.","DOI":"10.3390\/drones2010004"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Austin, R. (2011). Unmanned Aircraft Systems: UAVS Design, Development and Deployment, John Wiley & Sons.","DOI":"10.1002\/9780470664797"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Paredes, J.A., Saito, C., Abarca, M., and Cuellar, F. (2017, January 20\u201323). Study of effects of high-altitude environments on multicopter and fixed-wing UAVs\u2019 energy consumption and flight time. Proceedings of the 2017 13th IEEE Conference on Automation Science and Engineering (CASE), Xi\u2019an, China.","DOI":"10.1109\/COASE.2017.8256340"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Gu, H., Lyu, X., Li, Z., Shen, S., and Zhang, F. (2017, January 13\u201316). Development and experimental verification of a hybrid vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV). Proceedings of the 2017 International Conference on Unmanned Aircraft Systems (ICUAS), Miami, FL, USA.","DOI":"10.1109\/ICUAS.2017.7991420"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Zaludin, Z., and Gires, E. (2019, January 29\u201329). Automatic Flight Control Requirements for Transition Flight Phases When Converting Long Endurance Fixed Wing UAV to VTOL Aircraft. Proceedings of the 2019 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), Selangor, Malaysia.","DOI":"10.1109\/I2CACIS.2019.8825042"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1109\/MAES.2013.6516147","article-title":"An experimental UAV system for search and rescue challenge","volume":"28","author":"Erdos","year":"2013","journal-title":"IEEE Aerosp. Electron. Syst. Mag."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Apvrille, L., Tanzi, T., and Dugelay, J.L. (2014, January 16\u201323). Autonomous drones for assisting rescue services within the context of natural disasters. Proceedings of the 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS), Beijing, China.","DOI":"10.1109\/URSIGASS.2014.6929384"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Scherer, J., Yahyanejad, S., Hayat, S., Yanmaz, E., Andre, T., Khan, A., Vukadinovic, V., Bettstetter, C., Hellwagner, H., and Rinner, B. (2015). An Autonomous Multi-UAV System for Search and Rescue, Association for Computing Machinery. DroNet\u201915.","DOI":"10.1145\/2750675.2750683"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Alsamhi, S.H., Shvetsov, A.V., Kumar, S., Shvetsova, S.V., Alhartomi, M.A., Hawbani, A., Rajput, N.S., Srivastava, S., Saif, A., and Nyangaresi, V.O. (2022). UAV Computing-Assisted Search and Rescue Mission Framework for Disaster and Harsh Environment Mitigation. Drones, 6.","DOI":"10.3390\/drones6070154"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1155\/2021\/6629489","article-title":"Design and Analysis of Propeller for High Altitude Search and Rescue Unmanned Aerial Vehicle","volume":"2021","author":"Dahal","year":"2021","journal-title":"Int. J. Aerosp. Eng."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1049\/csy2.12014","article-title":"Driving and tilt-hovering\u2014An agile and manoeuvrable aerial vehicle with tiltable rotors","volume":"3","author":"Li","year":"2021","journal-title":"IET Cyber-Syst. Robot."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1109\/MCOM.2016.7470933","article-title":"Wireless communications with unmanned aerial vehicles: Opportunities and challenges","volume":"54","author":"Zeng","year":"2016","journal-title":"IEEE Commun. Mag."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Mozaffari, M., Saad, W., Bennis, M., and Debbah, M. (2016, January 22\u201327). Optimal transport theory for power-efficient deployment of unmanned aerial vehicles. Proceedings of the 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia.","DOI":"10.1109\/ICC.2016.7510870"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1689","DOI":"10.1016\/j.apm.2009.10.005","article-title":"Multiple criteria facility location problems: A survey","volume":"34","author":"Farahani","year":"2010","journal-title":"Appl. Math. Model."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1109\/LWC.2017.2752161","article-title":"3-D Placement of an Unmanned Aerial Vehicle Base Station for Maximum Coverage of Users With Different QoS Requirements","volume":"7","author":"Alzenad","year":"2018","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2021\/2937224","article-title":"3d deployment of unmanned aerial vehicle-base station assisting ground-base station","volume":"2021","author":"Hayajneh","year":"2021","journal-title":"Wirel. Commun. Mob. Comput."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/s10846-021-01484-1","article-title":"A Framework for Multi-UAV Persistent Search and Retrieval with Stochastic Target Appearance in a Continuous Space","volume":"103","author":"Day","year":"2021","journal-title":"J. Intell. Robot. Syst."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"7596","DOI":"10.1109\/LRA.2021.3098304","article-title":"Large-Scale Exploration of Cave Environments by Unmanned Aerial Vehicles","volume":"6","author":"Saska","year":"2021","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Zhu, X., Vanegas, F., Gonzalez, F., and Sanderson, C. (2021, January 15\u201318). A Multi-UAV System for Exploration and Target Finding in Cluttered and GPS-Denied Environments. Proceedings of the 2021 International Conference on Unmanned Aircraft Systems (ICUAS), Athens, Greece.","DOI":"10.1109\/ICUAS51884.2021.9476820"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Tiemann, J., Eckermann, F., and Wietfeld, C. (2016, January 4\u20137). ATLAS\u2014An open-source TDOA-based Ultra-wideband localization system. Proceedings of the 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Alcala de Henares, Spain.","DOI":"10.1109\/IPIN.2016.7743707"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Tiemann, J., and Wietfeld, C. (2017, January 18\u201321). Scalable and precise multi-UAV indoor navigation using TDOA-based UWB localization. Proceedings of the 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Sapporo, Japan.","DOI":"10.1109\/IPIN.2017.8115937"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Gorczak, P., Bektas, C., Kurtz, F., L\u00fcbcke, T., and Wietfeld, C. (2019, January 2\u20134). Robust Cellular Communications for Unmanned Aerial Vehicles in Maritime Search and Rescue. Proceedings of the 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), Wurzburg, Germany.","DOI":"10.1109\/SSRR.2019.8848932"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1515\/pomr-2017-0122","article-title":"Marine Search and Rescue of UAV in Long-Distance Security Modeling Simulation","volume":"24","author":"Zheng","year":"2017","journal-title":"Pol. Marit. Res."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"110035","DOI":"10.1109\/ACCESS.2019.2933234","article-title":"Enabling drone services: Drone crowdsourcing and drone scripting","volume":"7","author":"Alwateer","year":"2019","journal-title":"IEEE Access"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"e05285","DOI":"10.1016\/j.heliyon.2020.e05285","article-title":"A comprehensive review of energy sources for unmanned aerial vehicles, their shortfalls and opportunities for improvements","volume":"6","author":"Townsend","year":"2020","journal-title":"Heliyon"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2055","DOI":"10.1016\/j.neucom.2017.10.037","article-title":"Path planning for solar-powered UAV in urban environment","volume":"275","author":"Wu","year":"2018","journal-title":"Neurocomputing"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"9309","DOI":"10.1109\/TVT.2022.3182351","article-title":"Target Search in Dynamic Environments with Multiple Solar-Powered UAVs","volume":"71","author":"Lun","year":"2022","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1878","DOI":"10.1109\/TAES.2018.2876738","article-title":"Energy management strategy for solar-powered UAV long-endurance target tracking","volume":"55","author":"Wu","year":"2018","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Uragun, B. (2011, January 18\u201321). Energy Efficiency for Unmanned Aerial Vehicles. Proceedings of the 2011 10th International Conference on Machine Learning and Applications and Workshops, Honolulu, HI, USA.","DOI":"10.1109\/ICMLA.2011.159"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1913","DOI":"10.1109\/TVT.2019.2961993","article-title":"Energy Efficient UAV Communication with Energy Harvesting","volume":"69","author":"Yang","year":"2020","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Ouamri, M.A., Barb, G., Singh, D., Adam, A.B.M., Muthanna, M.S.A., and Li, X. (2023). Nonlinear Energy-Harvesting for D2D Networks Underlaying UAV with SWIPT Using MADQN. IEEE Commun. Lett., early access.","DOI":"10.1109\/LCOMM.2023.3275989"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1007\/s12046-014-0275-0","article-title":"AI-based adaptive control and design of autopilot system for nonlinear UAV","volume":"39","author":"Yadav","year":"2014","journal-title":"Sadhana"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"26320","DOI":"10.1109\/ACCESS.2022.3157626","article-title":"Artificial Intelligence Approaches for UAV Navigation: Recent Advances and Future Challenges","volume":"10","author":"Rezwan","year":"2022","journal-title":"IEEE Access"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"107623","DOI":"10.1016\/j.ast.2022.107623","article-title":"Learning-based fixed-wing UAV reactive maneuver control for obstacle avoidance","volume":"126","author":"Wu","year":"2022","journal-title":"Aerosp. Sci. Technol."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Al-Turjman, F., and Zahmatkesh, H. (2020). Unmanned Aerial Vehicles in Smart Cities, Springer.","DOI":"10.1007\/978-3-030-38712-9"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1002\/rob.21615","article-title":"Search and Rescue Rotary-Wing UAV and Its Application to the Lushan Ms 7.0 Earthquake","volume":"33","author":"Qi","year":"2016","journal-title":"J. Field Robot."},{"key":"ref_53","first-page":"C22","article-title":"Mobile 3D mapping with a low-cost UAV system","volume":"38","author":"Neitzel","year":"2011","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1016\/j.geomorph.2012.08.021","article-title":"\u2018Structure-from-Motion\u2019 photogrammetry: A low-cost, effective tool for geoscience applications","volume":"179","author":"Westoby","year":"2012","journal-title":"Geomorphology"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Verykokou, S., Doulamis, A., Athanasiou, G., Ioannidis, C., and Amditis, A. (2016, January 4\u20136). UAV-based 3D modelling of disaster scenes for Urban Search and Rescue. Proceedings of the 2016 IEEE International Conference on Imaging Systems and Techniques (IST), Chania, Greece.","DOI":"10.1109\/IST.2016.7738206"},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Skondras, A., Karachaliou, E., Tavantzis, I., Tokas, N., Valari, E., Skalidi, I., Bouvet, G.A., and Stylianidis, E. (2022). UAV Mapping and 3D Modeling as a Tool for Promotion and Management of the Urban Space. Drones, 6.","DOI":"10.3390\/drones6050115"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1437","DOI":"10.3390\/w7041437","article-title":"Urban Flood Mapping Based on Unmanned Aerial Vehicle Remote Sensing and Random Forest Classifier\u2014A Case of Yuyao, China","volume":"7","author":"Feng","year":"2015","journal-title":"Water"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Rezaldi, M.Y., Yoganingrum, A., Hanifa, N.R., Kaneda, Y., Kushadiani, S.K., Prasetyadi, A., Nugroho, B., and Riyanto, A.M. (2021). Unmanned Aerial Vehicle (UAV) and Photogrammetric Technic for 3D Tsunamis Safety Modeling in Cilacap, Indonesia. Appl. Sci., 11.","DOI":"10.3390\/app112311310"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"09005","DOI":"10.1051\/e3sconf\/201912509005","article-title":"An evaluation of tsunami hazard modeling in Gunungkidul Coastal Area using UAV Photogrammetry and GIS. Case study: Drini Coastal Area","volume":"Volume 125","author":"Marfai","year":"2019","journal-title":"E3S Web of Conferences"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Choi, S.s., and Kim, E.k. (2015, January 1\u20133). Building crack inspection using small UAV. Proceedings of the 2015 17th International Conference on Advanced Communication Technology (ICACT), Pyeong Chang, Republic of Korea.","DOI":"10.1109\/ICACT.2015.7224792"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Gillins, M.N., Gillins, D.T., and Parrish, C. (2016, January 14\u201317). Cost-effective bridge safety inspections using unmanned aircraft systems (UAS). Proceedings of the Geotechnical and Structural Engineering Congress 2016, Phoenix, Arizona.","DOI":"10.1061\/9780784479742.165"},{"key":"ref_62","unstructured":"Eschmann, C., Kuo, C., Kuo, C.-M., and Boller, C. (2012, January 3\u20136). Unmanned aircraft systems for remote building inspection and monitoring. Proceedings of the 6th European Workshop on Structural Health Monitoring (EWSHM 2012), Dresden, Germany."},{"key":"ref_63","unstructured":"Lattanzi, D.A., and Miller, G. (2013). Structures Congress 2013: Bridging Your Passion with Your Profession, ASCE."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"04018078","DOI":"10.1061\/(ASCE)BE.1943-5592.0001291","article-title":"Fatigue Crack Detection Using Unmanned Aerial Systems in Fracture Critical Inspection of Steel Bridges","volume":"23","author":"Dorafshan","year":"2018","journal-title":"J. Bridge Eng."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1260\/1369-4332.17.3.289","article-title":"Quality assessment of unmanned aerial vehicle (UAV) based visual inspection of structures","volume":"17","author":"Morgenthal","year":"2014","journal-title":"Adv. Struct. Eng."},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Meyer, D., Hess, M., Lo, E., Wittich, C.E., Hutchinson, T.C., and Kuester, F. (October, January 28). UAV-based post disaster assessment of cultural heritage sites following the 2014 South Napa Earthquake. Proceedings of the 2015 Digital Heritage, Granada, Spain.","DOI":"10.1109\/DigitalHeritage.2015.7419539"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"e2276","DOI":"10.1002\/stc.2276","article-title":"An evaluation of image-based structural health monitoring using integrated unmanned aerial vehicle platform","volume":"26","author":"Akbar","year":"2019","journal-title":"Struct. Control Health Monit."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"102994","DOI":"10.1016\/j.autcon.2019.102994","article-title":"Automated regional seismic damage assessment of buildings using an unmanned aerial vehicle and a convolutional neural network","volume":"109","author":"Xiong","year":"2020","journal-title":"Autom. Constr."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"104284","DOI":"10.1016\/j.autcon.2022.104284","article-title":"Mapping and modelling defect data from UAV captured images to BIM for building external wall inspection","volume":"139","author":"Tan","year":"2022","journal-title":"Autom. Constr."},{"key":"ref_70","first-page":"102875","article-title":"Mask R-CNN based automated identification and extraction of oil well sites","volume":"112","author":"He","year":"2022","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"1087","DOI":"10.5194\/nhess-15-1087-2015","article-title":"UAV-based urban structural damage assessment using object-based image analysis and semantic reasoning","volume":"15","author":"Kerle","year":"2015","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.isprsjprs.2015.03.016","article-title":"Identification of damage in buildings based on gaps in 3D point clouds from very high resolution oblique airborne images","volume":"105","author":"Vetrivel","year":"2015","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.wem.2016.12.010","article-title":"First Report of Using Portable Unmanned Aircraft Systems (Drones) for Search and Rescue","volume":"28","year":"2017","journal-title":"Wilderness Environ. Med."},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Andriluka, M., Schnitzspan, P., Meyer, J., Kohlbrecher, S., Petersen, K., von Stryk, O., Roth, S., and Schiele, B. (2010, January 18\u201322). Vision based victim detection from unmanned aerial vehicles. Proceedings of the 2010 IEEE\/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan.","DOI":"10.1109\/IROS.2010.5649223"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1109\/5.18626","article-title":"A tutorial on hidden Markov models and selected applications in speech recognition","volume":"77","author":"Rabiner","year":"1989","journal-title":"Proc. IEEE"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"114937","DOI":"10.1016\/j.eswa.2021.114937","article-title":"Search and rescue operation using UAVs: A case study","volume":"178","author":"Golcarenarenji","year":"2021","journal-title":"Expert Syst. Appl."},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Cao, Y., Qi, F., Jing, Y., Zhu, M., Lei, T., Li, Z., Xia, J., Wang, J., and Lu, G. (2022). Mission Chain Driven Unmanned Aerial Vehicle Swarms Cooperation for the Search and Rescue of Outdoor Injured Human Targets. Drones, 6.","DOI":"10.3390\/drones6060138"},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Murphy, S.O., Sreenan, C., and Brown, K.N. (May, January 28). Autonomous Unmanned Aerial Vehicle for Search and Rescue Using Software Defined Radio. Proceedings of the 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), Kuala Lumpur, Malaysia.","DOI":"10.1109\/VTCSpring.2019.8746312"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"3312","DOI":"10.1109\/TMC.2021.3051273","article-title":"SARDO: An Automated Search-and-Rescue Drone-based Solution for Victims Localization","volume":"21","author":"Albanese","year":"2022","journal-title":"IEEE Trans. Mob. Comput."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"1550147719850719","DOI":"10.1177\/1550147719850719","article-title":"Unmanned aerial system\u2013assisted wilderness search and rescue mission","volume":"15","author":"Dinh","year":"2019","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Weldon, W.T., and Hupy, J. (2020). Investigating Methods for Integrating Unmanned Aerial Systems in Search and Rescue Operations. Drones, 4.","DOI":"10.3390\/drones4030038"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1002\/rob.20226","article-title":"Supporting wilderness search and rescue using a camera-equipped mini UAV","volume":"25","author":"Goodrich","year":"2008","journal-title":"J. Field Robot."},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Burke, C., McWhirter, P.R., Veitch-Michaelis, J., McAree, O., Pointon, H.A., Wich, S., and Longmore, S. (2019). Requirements and Limitations of Thermal Drones for Effective Search and Rescue in Marine and Coastal Areas. Drones, 3.","DOI":"10.3390\/drones3040078"},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Sun, J., Li, B., Jiang, Y., and Wen, C.y. (2016). A Camera-Based Target Detection and Positioning UAV System for Search and Rescue (SAR) Purposes. Sensors, 16.","DOI":"10.3390\/s16111778"},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Valsan, A., Parvathy, B., GH, V.D., Unnikrishnan, R., Reddy, P.K., and Vivek, A. (2020, January 15\u201317). Unmanned Aerial Vehicle for Search and Rescue Mission. Proceedings of the 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI) (48184), Tirunelveli, India.","DOI":"10.1109\/ICOEI48184.2020.9143062"},{"key":"ref_86","doi-asserted-by":"crossref","unstructured":"McGee, J., Mathew, S.J., and Gonzalez, F. (2020, January 1\u20134). Unmanned Aerial Vehicle and Artificial Intelligence for Thermal Target Detection in Search and Rescue Applications. Proceedings of the 2020 International Conference on Unmanned Aircraft Systems (ICUAS), Athens, Greece.","DOI":"10.1109\/ICUAS48674.2020.9213849"},{"key":"ref_87","doi-asserted-by":"crossref","unstructured":"Orgun, M.A., and Thornton, J. (2007). AI 2007: Advances in Artificial Intelligence, Springer.","DOI":"10.1007\/978-3-540-76928-6"},{"key":"ref_88","doi-asserted-by":"crossref","unstructured":"Rudol, P., and Doherty, P. (2008, January 1\u20138). Human Body Detection and Geolocalization for UAV Search and Rescue Missions Using Color and Thermal Imagery. Proceedings of the 2008 IEEE Aerospace Conference, Big Sky, MT, USA.","DOI":"10.1109\/AERO.2008.4526559"},{"key":"ref_89","doi-asserted-by":"crossref","unstructured":"Lu, B.X., Wu, J.J., Tsai, Y.C., Jiang, W.T., and Tseng, K.S. (2020, January 9\u201311). A Novel Telerobotic Search System using an Unmanned Aerial Vehicle. Proceedings of the 2020 Fourth IEEE International Conference on Robotic Computing (IRC), Taichung, Taiwan.","DOI":"10.1109\/IRC.2020.00030"},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"3252","DOI":"10.1016\/j.cor.2005.02.039","article-title":"Multiple task assignments for cooperating uninhabited aerial vehicles using genetic algorithms","volume":"33","author":"Shima","year":"2006","journal-title":"Comput. Oper. Res."},{"key":"ref_91","doi-asserted-by":"crossref","unstructured":"Ye, F., Chen, J., Tian, Y., and Jiang, T. (2020). Cooperative task assignment of a heterogeneous multi-UAV system using an adaptive genetic algorithm. Electronics, 9.","DOI":"10.3390\/electronics9040687"},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1007\/s11042-017-4956-7","article-title":"Multi-model cooperative task assignment and path planning of multiple UCAV formation","volume":"78","author":"Huang","year":"2019","journal-title":"Multimed. Tools Appl."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"1238","DOI":"10.1016\/j.cja.2013.07.009","article-title":"Cooperative task assignment of multiple heterogeneous unmanned aerial vehicles using a modified genetic algorithm with multi-type genes","volume":"26","author":"Deng","year":"2013","journal-title":"Chin. J. Aeronaut."},{"key":"ref_94","doi-asserted-by":"crossref","unstructured":"Delle Fave, F.M., Rogers, A., Xu, Z., Sukkarieh, S., and Jennings, N.R. (2012, January 14\u201318). Deploying the max-sum algorithm for decentralised coordination and task allocation of unmanned aerial vehicles for live aerial imagery collection. Proceedings of the 2012 IEEE International Conference on Robotics and Automation, Saint Paul, MN, USA.","DOI":"10.1109\/ICRA.2012.6225053"},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.adhoc.2018.09.013","article-title":"Dronemap Planner: A service-oriented cloud-based management system for the Internet-of-Drones","volume":"86","author":"Qureshi","year":"2019","journal-title":"Ad Hoc Netw."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"4941","DOI":"10.1109\/TITS.2020.2983491","article-title":"Reliable path planning for drone delivery using a stochastic time-dependent public transportation network","volume":"22","author":"Huang","year":"2020","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"Kurdi, H., How, J., and Bautista, G. (2016, January 4\u20138). Bio-inspired algorithm for task allocation in multi-uav search and rescue missions. Proceedings of the AIAA Guidance, Navigation, and Control Conference, San Diego, CA, USA.","DOI":"10.2514\/6.2016-1377"},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1007\/s10846-017-0493-x","article-title":"Market-based task assignment for cooperative timing missions in dynamic environments","volume":"87","author":"Oh","year":"2017","journal-title":"J. Intell. Robot. Syst."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1007\/s10846-016-0400-x","article-title":"Move and improve: A market-based mechanism for the multiple depot multiple travelling salesmen problem","volume":"85","author":"Cheikhrouhou","year":"2017","journal-title":"J. Intell. Robot. Syst."},{"key":"ref_100","unstructured":"Ongaro, D., and Ousterhout, J. (2014, January 19\u201320). In search of an understandable consensus algorithm. Proceedings of the 2014 USENIX Annual Technical Conference (USENIX ATC 14), Philadelphia, PA, USA."},{"key":"ref_101","doi-asserted-by":"crossref","unstructured":"Kim, I., and Morrison, J.R. (2018, January 12\u201315). Learning based framework for joint task allocation and system design in stochastic multi-UAV systems. Proceedings of the 2018 International Conference on Unmanned Aircraft Systems (ICUAS), Dallas, TX, USA.","DOI":"10.1109\/ICUAS.2018.8453318"},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1177\/0020294019889074","article-title":"Moving target tracking method for unmanned aerial vehicle\/unmanned ground vehicle heterogeneous system based on AprilTags","volume":"53","author":"Liang","year":"2020","journal-title":"Meas. Control"},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"1069","DOI":"10.1109\/TASE.2022.3182057","article-title":"Aerial Surveillance in Cities: When UAVs Take Public Transportation Vehicles","volume":"20","author":"Huang","year":"2023","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_104","doi-asserted-by":"crossref","unstructured":"Kent, T., Richards, A., and Johnson, A. (2022). Homogeneous Agent Behaviours for the Multi-Agent Simultaneous Searching and Routing Problem. Drones, 6.","DOI":"10.3390\/drones6020051"},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1109\/TASE.2021.3062810","article-title":"Online UAV Trajectory Planning for Covert Video Surveillance of Mobile Targets","volume":"19","author":"Huang","year":"2022","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"6682","DOI":"10.1109\/TSMC.2021.3088776","article-title":"Unmanned-aerial-vehicle routing problem with mobile charging stations for assisting search and rescue missions in postdisaster scenarios","volume":"52","author":"Ribeiro","year":"2021","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"3261","DOI":"10.1109\/JSYST.2020.3041573","article-title":"UAV-assisted wireless localization for search and rescue","volume":"15","author":"Atif","year":"2021","journal-title":"IEEE Syst. J."},{"key":"ref_108","doi-asserted-by":"crossref","unstructured":"Han, Z., Zhang, R., Pan, N., Xu, C., and Gao, F. (June, January 30). Fast-tracker: A robust aerial system for tracking agile target in cluttered environments. Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi\u2019an, China.","DOI":"10.1109\/ICRA48506.2021.9561948"},{"key":"ref_109","unstructured":"Almurib, H.A., Nathan, P.T., and Kumar, T.N. (2011, January 13\u201318). Control and path planning of quadrotor aerial vehicles for search and rescue. Proceedings of the SICE Annual Conference 2011, Tokyo, Japan."},{"key":"ref_110","doi-asserted-by":"crossref","unstructured":"Agcayazi, M.T., Cawi, E., Jurgenson, A., Ghassemi, P., and Cook, G. (2016, January 7\u201310). ResQuad: Toward a semi-autonomous wilderness search and rescue unmanned aerial system. Proceedings of the 2016 International Conference on Unmanned Aircraft Systems (ICUAS), Arlington, VA, USA.","DOI":"10.1109\/ICUAS.2016.7502618"},{"key":"ref_111","doi-asserted-by":"crossref","unstructured":"Waharte, S., Symington, A., and Trigoni, N. (2010, January 3\u20137). Probabilistic search with agile UAVs. Proceedings of the 2010 IEEE International Conference on Robotics and Automation, Anchorage, AK, USA.","DOI":"10.1109\/ROBOT.2010.5509962"},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"2413","DOI":"10.1109\/TAES.2017.2696603","article-title":"Optimal Aircraft Planar Navigation in Static Threat Environments","volume":"53","author":"Savkin","year":"2017","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1177\/027836498600500106","article-title":"Real-time obstacle avoidance for manipulators and mobile robots","volume":"5","author":"Khatib","year":"1986","journal-title":"Int. J. Robot. Res."},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"122757","DOI":"10.1109\/ACCESS.2020.3007496","article-title":"A novel real-time penetration path planning algorithm for stealth UAV in 3D complex dynamic environment","volume":"8","author":"Zhang","year":"2020","journal-title":"IEEE Access"},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1049\/el.2015.4551","article-title":"Energy-optimal coverage path planning on topographic map for environment survey with unmanned aerial vehicles","volume":"52","author":"Li","year":"2016","journal-title":"Electron. Lett."},{"key":"ref_116","doi-asserted-by":"crossref","unstructured":"Dogru, S., and Marques, L. (2015, January 8\u201310). Energy efficient coverage path planning for autonomous mobile robots on 3D terrain. Proceedings of the 2015 IEEE International Conference on Autonomous Robot Systems and Competition, Vila Real, Portugal.","DOI":"10.1109\/ICARSC.2015.23"},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1007\/s40430-022-03362-9","article-title":"Obstacle avoidance for a swarm of unmanned aerial vehicles operating on particle swarm optimization: A swarm intelligence approach for search and rescue missions","volume":"44","author":"Kumar","year":"2022","journal-title":"J. Braz. Soc. Mech. Sci. Eng."},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.swevo.2015.10.011","article-title":"A hybridization of an improved particle swarm optimization and gravitational search algorithm for multi-robot path planning","volume":"28","author":"Das","year":"2016","journal-title":"Swarm Evol. Comput."},{"key":"ref_119","doi-asserted-by":"crossref","unstructured":"Zaza, T., and Richards, A. (2014, January 9\u201311). Ant colony optimization for routing and tasking problems for teams of UAVs. Proceedings of the 2014 UKACC International Conference on Control (CONTROL), Loughborough, UK.","DOI":"10.1109\/CONTROL.2014.6915216"},{"key":"ref_120","doi-asserted-by":"crossref","unstructured":"Kothari, M., Postlethwaite, I., and Gu, D.W. (2009, January 15\u201318). Multi-UAV path planning in obstacle rich environments using Rapidly-exploring Random Trees. Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, Shanghai, China.","DOI":"10.1109\/CDC.2009.5400108"},{"key":"ref_121","doi-asserted-by":"crossref","unstructured":"Oriolo, G., Vendittelli, M., Freda, L., and Troso, G. (May, January 26). The SRT method: Randomized strategies for exploration. Proceedings of the IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA\u201904. 2004, New Orleans, LA, USA.","DOI":"10.1109\/ROBOT.2004.1302457"},{"key":"ref_122","doi-asserted-by":"crossref","unstructured":"Freda, L., Loiudice, F., and Oriolo, G. (2006, January 9\u201315). A Randomized Method for Integrated Exploration. Proceedings of the 2006 IEEE\/RSJ International Conference on Intelligent Robots and Systems, Beijing, China.","DOI":"10.1109\/IROS.2006.281689"},{"key":"ref_123","doi-asserted-by":"crossref","unstructured":"Umari, H., and Mukhopadhyay, S. (2017, January 24\u201328). Autonomous robotic exploration based on multiple rapidly-exploring randomized trees. Proceedings of the 2017 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada.","DOI":"10.1109\/IROS.2017.8202319"},{"key":"ref_124","first-page":"216","article-title":"Monte-Carlo Tree Search: A New Framework for Game AI","volume":"4","author":"Chaslot","year":"2021","journal-title":"Proc. AAAI Conf. Artif. Intell. Interact. Digit. Entertain."},{"key":"ref_125","doi-asserted-by":"crossref","unstructured":"Tong, B.K.B., Ma, C.M., and Sung, C.W. (September, January 31). A Monte-Carlo approach for the endgame of Ms. Pac-Man. Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games (CIG\u201911), Seoul, Republic of Korea.","DOI":"10.1109\/CIG.2011.6031983"},{"key":"ref_126","doi-asserted-by":"crossref","unstructured":"Tong, B.K.B., and Sung, C.W. (2010, January 21\u201323). A Monte-Carlo approach for ghost avoidance in the Ms. Pac-Man game. Proceedings of the 2010 2nd International IEEE Consumer Electronics Society\u2019s Games Innovations Conference, Hong Kong, China.","DOI":"10.1109\/ICEGIC.2010.5716879"},{"key":"ref_127","unstructured":"Soriano Marcolino, L., and Matsubara, H. (2011, January 2\u20136). Multi-agent Monte Carlo Go. Proceedings of the AAMAS\u201911: The Tenth International Conference on Autonomous Agents and Multiagent Systems, Taipei, Taiwan."},{"key":"ref_128","unstructured":"Baker, C., Ramchurn, G., Teacy, L., and Jennings, N. (2016, January 13). Factored Monte-Carlo tree search for coordinating UAVs in disaster response. Proceedings of the ICAPS 4th Workshop on Distributed and Multi-Agent Planning (DMAP-2016), London, UK."},{"key":"ref_129","unstructured":"Baker, C.A.B., Ramchurn, S., Teacy, W.L., and Jennings, N.R. (September, January 29). Planning Search and Rescue Missions for UAV Teams. Proceedings of the Twenty-Second European Conference on Artificial Intelligence, The Hague, The Netherlands."},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TCIAIG.2012.2186810","article-title":"A Survey of Monte Carlo Tree Search Methods","volume":"4","author":"Browne","year":"2012","journal-title":"IEEE Trans. Comput. Intell. AI Games"},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1007\/s10846-010-9486-8","article-title":"Search strategies for multiple UAV search and destroy missions","volume":"61","author":"George","year":"2011","journal-title":"J. Intell. Robot. Syst."},{"key":"ref_132","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1109\/70.88147","article-title":"Mobile robot localization by tracking geometric beacons","volume":"7","author":"Leonard","year":"1991","journal-title":"IEEE Trans. Robot. Autom."},{"key":"ref_133","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1109\/MRA.2006.1678144","article-title":"Simultaneous localization and mapping (SLAM): Part II","volume":"13","author":"Bailey","year":"2006","journal-title":"IEEE Robot. Autom. Mag."},{"key":"ref_134","doi-asserted-by":"crossref","unstructured":"Khairuddin, A.R., Talib, M.S., and Haron, H. (2015, January 27\u201329). Review on simultaneous localization and mapping (SLAM). Proceedings of the 2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE), Penang, Malaysia.","DOI":"10.1109\/ICCSCE.2015.7482163"},{"key":"ref_135","unstructured":"(2003). Montemerlo, Michael. FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem with Unknown Data Association. [Ph.D. Thesis, Carnegie Mellon University]."},{"key":"ref_136","unstructured":"Montemerlo, M., Thrun, S., Koller, D., and Wegbreit, B. Proceedings of the IJCAI\u201903: Proceedings of the 18th International Joint Conference on Artificial Intelligence, Acapulco, Mexico, 9\u201315 August 2003."},{"key":"ref_137","doi-asserted-by":"crossref","unstructured":"Kim, C., Sakthivel, R., and Chung, W.K. (2007, January 10\u201314). Unscented FastSLAM: A Robust Algorithm for the Simultaneous Localization and Mapping Problem. Proceedings of the 2007 IEEE International Conference on Robotics and Automation, Rome, Italy.","DOI":"10.1109\/ROBOT.2007.363685"},{"key":"ref_138","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.robot.2008.05.005","article-title":"Differential evolution solution to the SLAM problem","volume":"57","author":"Moreno","year":"2009","journal-title":"Robot. Auton. Syst."},{"key":"ref_139","doi-asserted-by":"crossref","unstructured":"Li, R., Liu, J., Zhang, L., and Hang, Y. (2014, January 16\u201317). LIDAR\/MEMS IMU integrated navigation (SLAM) method for a small UAV in indoor environments. Proceedings of the 2014 DGON Inertial Sensors and Systems (ISS), Karlsruhe, Germany.","DOI":"10.1109\/InertialSensors.2014.7049479"},{"key":"ref_140","doi-asserted-by":"crossref","unstructured":"Ismail, H., Roy, R., Sheu, L.J., Chieng, W.H., and Tang, L.C. (2022). Exploration-Based SLAM (e-SLAM) for the Indoor Mobile Robot Using Lidar. Sensors, 22.","DOI":"10.3390\/s22041689"},{"key":"ref_141","doi-asserted-by":"crossref","unstructured":"Rojas, I., Joya, G., and Catala, A. (2017). Advances in Computational Intelligence, Springer International Publishing.","DOI":"10.1007\/978-3-319-59153-7"},{"key":"ref_142","doi-asserted-by":"crossref","unstructured":"Kerl, C., Sturm, J., and Cremers, D. (2013, January 3\u20137). Dense visual SLAM for RGB-D cameras. Proceedings of the 2013 IEEE\/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan.","DOI":"10.1109\/IROS.2013.6696650"},{"key":"ref_143","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1007\/s10846-019-01062-6","article-title":"Communicating multi-uav system for cooperative slam-based exploration","volume":"98","author":"Mahdoui","year":"2020","journal-title":"J. Intell. Robot. Syst."},{"key":"ref_144","doi-asserted-by":"crossref","unstructured":"Steenbeek, A., and Nex, F. (2022). CNN-based dense monocular visual SLAM for real-time UAV exploration in emergency conditions. Drones, 6.","DOI":"10.3390\/drones6030079"},{"key":"ref_145","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1007\/s12524-020-01245-x","article-title":"Population coding of generative neuronal cells for collaborative decision making in UAV-based SLAM operations","volume":"49","author":"Rai","year":"2021","journal-title":"J. Indian Soc. Remote Sens."},{"key":"ref_146","unstructured":"Chen, T., Gupta, S., and Gupta, A. (2019, January 6\u20139). Learning Exploration Policies for Navigation. Proceedings of the International Conference on Learning Representations, New Orleans, LA, USA."},{"key":"ref_147","unstructured":"Chaplot, D.S., Gandhi, D., Gupta, S., Gupta, A., and Salakhutdinov, R. (2020). Learning to Explore using Active Neural SLAM. arXiv."},{"key":"ref_148","doi-asserted-by":"crossref","first-page":"2766","DOI":"10.1002\/asjc.2415","article-title":"Object traversing by monocular UAV in outdoor environment","volume":"23","author":"Hu","year":"2021","journal-title":"Asian J. Control"},{"key":"ref_149","doi-asserted-by":"crossref","unstructured":"Shao, P., Mo, F., Chen, Y., Ding, N., and Huang, R. (2021, January 15\u201319). Monocular Object SLAM using Quadrics and Landmark Reference Map for Outdoor UAV Applications. Proceedings of the 2021 IEEE International Conference on Real-time Computing and Robotics (RCAR), Xining, China.","DOI":"10.1109\/RCAR52367.2021.9517328"},{"key":"ref_150","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/MCOM.001.2000501","article-title":"Edge computing assisted autonomous flight for UAV: Synergies between vision and communications","volume":"59","author":"Chen","year":"2021","journal-title":"IEEE Commun. Mag."},{"key":"ref_151","doi-asserted-by":"crossref","first-page":"1309","DOI":"10.1109\/TRO.2016.2624754","article-title":"Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age","volume":"32","author":"Cadena","year":"2016","journal-title":"IEEE Trans. Robot."},{"key":"ref_152","unstructured":"Kuchar, J.K. (2005, January 27\u201330). Safety analysis methodology for unmanned aerial vehicle (UAV) collision avoidance systems. Proceedings of the Usa\/Europe Air Traffic Management r&d Seminars, Baltimore, MA, USA."},{"key":"ref_153","doi-asserted-by":"crossref","first-page":"2626","DOI":"10.3182\/20110828-6-IT-1002.02564","article-title":"Adaptive control of a quadrotor with dynamic changes in the center of gravity","volume":"44","author":"Palunko","year":"2011","journal-title":"IFAC Proc. Vol."},{"key":"ref_154","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/j.ast.2015.09.037","article-title":"Real-time path planning of unmanned aerial vehicle for target tracking and obstacle avoidance in complex dynamic environment","volume":"47","author":"Yao","year":"2015","journal-title":"Aerosp. Sci. Technol."},{"key":"ref_155","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1109\/MRA.2018.2866758","article-title":"The voliro omniorientational hexacopter: An agile and maneuverable tiltable-rotor aerial vehicle","volume":"25","author":"Kamel","year":"2018","journal-title":"IEEE Robot. Autom. Mag."},{"key":"ref_156","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.robot.2019.03.004","article-title":"Agile maneuvering with a small fixed-wing unmanned aerial vehicle","volume":"116","author":"Levin","year":"2019","journal-title":"Robot. Auton. Syst."},{"key":"ref_157","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/s10846-020-01284-z","article-title":"Deep Learning-based Monocular Obstacle Avoidance for Unmanned Aerial Vehicle Navigation in Tree Plantations: Faster Region-based Convolutional Neural Network Approach","volume":"101","author":"Lee","year":"2021","journal-title":"J. Intell. Robot. Syst."},{"key":"ref_158","doi-asserted-by":"crossref","unstructured":"Bauersfeld, L., Kaufmann, E., Foehn, P., Sun, S., and Scaramuzza, D. (2021). Neurobem: Hybrid aerodynamic quadrotor model. arXiv.","DOI":"10.15607\/RSS.2021.XVII.042"},{"key":"ref_159","unstructured":"Huang, H., Eskandari, M., Savkin, A., and Ni, W. (Def. Technol., 2022). Energy-efficient joint UAV secure communication and 3D trajectory optimization assisted by reconfigurable intelligent surfaces in the presence of eavesdroppers, Def. Technol., in press."},{"key":"ref_160","doi-asserted-by":"crossref","first-page":"261367","DOI":"10.1155\/2012\/261367","article-title":"UAV formation flight based on nonlinear model predictive control","volume":"2012","author":"Chao","year":"2012","journal-title":"Math. Probl. Eng."},{"key":"ref_161","doi-asserted-by":"crossref","unstructured":"Nikou, A., Verginis, C., Heshmati-alamdari, S., and Dimarogonas, D.V. (2017, January 3\u20136). A Nonlinear Model Predictive Control scheme for cooperative manipulation with singularity and collision avoidance. Proceedings of the 2017 25th Mediterranean Conference on Control and Automation (MED), Valletta, Malta.","DOI":"10.1109\/MED.2017.7984201"},{"key":"ref_162","doi-asserted-by":"crossref","unstructured":"Voos, H. (2009, January 14\u201317). Nonlinear control of a quadrotor micro-UAV using feedback-linearization. Proceedings of the 2009 IEEE International Conference on Mechatronics, Malaga, Spain.","DOI":"10.1109\/ICMECH.2009.4957154"},{"key":"ref_163","doi-asserted-by":"crossref","first-page":"1732","DOI":"10.2514\/1.49978","article-title":"Robust flight control using incremental nonlinear dynamic inversion and angular acceleration prediction","volume":"33","author":"Sieberling","year":"2010","journal-title":"J. Guid. Control. Dyn."},{"key":"ref_164","doi-asserted-by":"crossref","first-page":"2692","DOI":"10.1109\/TAC.2009.2031580","article-title":"Combined\/Composite Model Reference Adaptive Control","volume":"54","author":"Lavretsky","year":"2009","journal-title":"IEEE Trans. Autom. Control"},{"key":"ref_165","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1108\/00022660510597223","article-title":"Control of longitudinal movement of a plane using combined model reference adaptive control","volume":"77","author":"Rioseco","year":"2005","journal-title":"Aircr. Eng. Aerosp. Technol."},{"key":"ref_166","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1016\/j.mechatronics.2011.02.007","article-title":"Robust adaptive control of a quadrotor helicopter","volume":"21","author":"Nicol","year":"2011","journal-title":"Mechatronics"},{"key":"ref_167","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1109\/TASE.2017.2651109","article-title":"State-of-the-Art Intelligent Flight Control Systems in Unmanned Aerial Vehicles","volume":"15","author":"Santoso","year":"2018","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_168","doi-asserted-by":"crossref","unstructured":"Gu, W., Valavanis, K.P., Rutherford, M.J., and Rizzo, A. (2019, January 11\u201314). A Survey of Artificial Neural Networks with Model-based Control Techniques for Flight Control of Unmanned Aerial Vehicles. Proceedings of the 2019 International Conference on Unmanned Aircraft Systems (ICUAS), Atlanta, GA, USA.","DOI":"10.1109\/ICUAS.2019.8797853"},{"key":"ref_169","doi-asserted-by":"crossref","unstructured":"Punjani, A., and Abbeel, P. (2015, January 26\u201330). Deep learning helicopter dynamics models. Proceedings of the 2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA.","DOI":"10.1109\/ICRA.2015.7139643"},{"key":"ref_170","doi-asserted-by":"crossref","unstructured":"Martin, R.S., Barrientos, A., Gutierrez, P., and del Cerro, J. (2006, January 24\u201326). Neural Networks Training Architecture for UAV Modelling. Proceedings of the 2006 World Automation Congress, Budapest, Hungary.","DOI":"10.1109\/WAC.2006.375985"},{"key":"ref_171","doi-asserted-by":"crossref","unstructured":"Bansal, S., Akametalu, A.K., Jiang, F.J., Laine, F., and Tomlin, C.J. (2016, January 12\u201314). Learning Quadrotor Dynamics Using Neural Network for Flight Control. Proceedings of the 2016 IEEE 55th Conference on Decision and Control (CoRR), Las Vegas, NV, USA.","DOI":"10.1109\/CDC.2016.7798978"},{"key":"ref_172","unstructured":"San Martin, R., Barrientos, A., Guti\u00e9rrez, P., and Cerro, J. (2006, January 15\u201319). Unmanned Aerial Vehicle (UAV) Modelling based on Supervised Neural Networks. Proceedings of the 2006 IEEE International Conference on Robotics and Automation, Orlando, FL, USA."},{"key":"ref_173","unstructured":"Kannan, S., and Johnson, E. (2002, January 27\u201331). Adaptive trajectory based control for autonomous helicopters. Proceedings of the 21st Digital Avionics Systems Conference, Irvine, CA, USA."},{"key":"ref_174","doi-asserted-by":"crossref","unstructured":"Nguyen, N., Krishnakumar, K., and Kaneshige, J. (2006, January 21\u201324). Dynamics and Adaptive Control for Stability Recovery of Damaged Asymmetric Aircraft. Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, Keystone, CO, USA.","DOI":"10.2514\/6.2006-6049"},{"key":"ref_175","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.neucom.2016.07.033","article-title":"Adaptive RBFNNs\/integral sliding mode control for a quadrotor aircraft","volume":"216","author":"Li","year":"2016","journal-title":"Neurocomputing"},{"key":"ref_176","doi-asserted-by":"crossref","first-page":"6513","DOI":"10.3182\/20080706-5-KR-1001.01098","article-title":"Adaptive Control via Backstepping Technique and Neural Networks of a Quadrotor Helicopter","volume":"41","author":"Madani","year":"2008","journal-title":"IFAC Proc. Vol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/13\/3266\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:00:24Z","timestamp":1760126424000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/13\/3266"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,25]]},"references-count":176,"journal-issue":{"issue":"13","published-online":{"date-parts":[[2023,7]]}},"alternative-id":["rs15133266"],"URL":"https:\/\/doi.org\/10.3390\/rs15133266","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,25]]}}}