Page 32 - Read Online
P. 32
Phadke et al. Intell Robot 2023;3:453-78 https://dx.doi.org/10.20517/ir.2023.27 Page 477
Sens 2021;13:1930. DOI
100. Santin R, Assis L, Vivas A, Pimenta LCA. Matheuristics for multi-UAV routing and recharge station location for complete area
coverage. Sensors 2021;21:1705. DOI PubMed PMC
101. Hong I, Kuby M, Murray AT. A range-restricted recharging station coverage model for drone delivery service planning. Transport
Res C-Emer 2018;90:198-212. DOI
102. Balta H, Velagic J, Beglerovic H, De Cubber G, Siciliano B. 3D registration and integrated segmentation framework for
heterogeneous unmanned robotic systems. Remote Sens 2020;12:1608. DOI
103. Dewan A, Mahendran A, Soni N, Krishna KM. Optimization based coordinated UGV-MAV exploration for 2D augmented mapping.
Available from: https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=03c1ff959a47d215fe404fde769ca23ac5a74dda
[Last accessed on 21 Sep 2023].
104. Mahendran A, Dewan A, Soni N, Krishna KM. UGV-MAV collaboration for augmented 2D maps. In Proceedings of the Proceedings
of Conference on Advances In Robotics; 2013.pp.1-6. DOI
105. Jung S, Jo Y, Kim Y. Aerial Surveillance with low-altitude long-endurance tethered multirotor UAVs using photovoltaic power
management system. Energies 2019;12:1323. DOI
106. Zhu L, Ma C, Li J, Lu Y, Yang Q. Connectivity-maintenance UAV formation control in complex environment. Drones 2023;7:229.
DOI
107. Stolfi DH, Danoy G. An evolutionary algorithm to optimise a distributed UAV swarm formation system. Appl Sci
2022;12:10218. DOI
108. Luo Y, Huang X, Yang J, Wu F, Leng S. Auction mechanism-based multi-type task planning for heterogeneous UAVs swarm. In
Proceedings of the International Conference on Communication Technology; 2020.pp. 698-702. DOI
109. Huang R, Zou D, Vaughan R, Tan P. Active image-based modeling with a toy drone. 2018 IEEE International Conference on
Robotics and Automation (ICRA); 2018.pp. 6124-31. DOI
110. Power W, Pavlovski M, Saranovic D, Stojkovic I, Obradovic Z. Autonomous navigation for drone swarms in GPS-denied
environments using structured learning. In Artificial Intelligence Applications and Innovations; IFIP Advances in Information and
Communication Technology; 2020.pp. 219-31. DOI
111. Sarras I, Marzat J, Bertrand S, Piet-lahanier H. Collaborative multiple micro air vehicles’ localization and target tracking in GPS-
denied environment from range-velocity measurements. International Journal of Micro Air Vehicles 2018;10:225-39. DOI
112. Chen S, Jiang B, Pang T, et al. Firefly swarm intelligence based cooperative localization and automatic clustering for indoor
FANETs. PLoS One 2023;18:e0282333. DOI PubMed PMC
113. Basiri A, Mariani V, Glielmo L. Improving visual SLAM by combining SVO and ORB-SLAM2 with a complementary filter to
enhance indoor mini-drone localization under varying conditions. Drones 2023;7:404. DOI
114. Ekici M, Seçkin AÇ, Özek A, Karpuz C. Warehouse drone: indoor positioning and product counter with virtual fiducial markers.
Drones 2023;7:3. DOI
115. Qamar S, Khan SH, Arshad MA, Qamar M, Khan A. Autonomous drone swarm navigation and multi-target tracking in 3d
environments with dynamic obstacles. arXiv 2022:06253. DOI
116. Jia Y, Li Q, Zhang Z. Accelerating emergence of aerial swarm. Appl Sci 2020;10:7986. DOI
117. Smith P, Hunjet R, Aleti A, Barca JC. Adaptive data transfer methods via policy evolution for UAV swarms. In Proceedings of the
International Telecommunication Networks and Applications Conference (ITNAC). Melbourne, VIC, Australia; 2017.pp.1-8. DOI
118. Wang K, Zhang X, Qiao X, et al. Adjustable fully adaptive cross-entropy algorithms for task assignment of multi-UAVs. Drones
2023;7:204. DOI
119. Khan S, Khan MZ, Khan P, Mehmood G, Khan A, Fayaz M. An ant-hocnet routing protocol based on optimized fuzzy logic for
swarm of UAVs in FANET. Wirel Commun Mob Com 2022;2022:1-12. DOI
120. Sun Q, Li H, Zhang Y, Xie Y, Liu C. A baseline assessment method of UAV swarm resilience based on complex networks. In
Proceedings of the 2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI); 2021 .pp.
000083-6. DOI
121. Shen H, Zong Q, Lu H, Zhang X, Tian B, He L. A distributed approach for lidar-based relative state estimation of multi-UAV in
GPS-denied environments. Chinese J Aeronaut 2022;35:59-69. DOI
122. Federal Aviation Administration. Remote identification of unmanned aircraft-final rule. Available from: https://www.faa.gov/
newsroom/remoteid-final-rule [Last accessed on 25 Sep 2023].
123. Phadke A, Boyd J, Medrano FA, Starek M. Navigating the skies: examining the FAA’s remote identification rule for unmanned
aircraft systems. Drone Syst Appl 2023;11:1-4. DOI
124. Petkovics I, Petkovic D, Petkovics A. IoT devices vs. drones for data collection in agriculture. In DAAAM International Scientific
Book 2017; 2017; pp. 063-80. DOI
125. Huang S, Teo RSH, Kwan JLP, Liu W, Dymkou SM. Distributed UAV loss detection and auto-replacement protocol with guaranteed
properties. J Intell Robot Syst 2019;93:303-16. DOI
126. Zhao X, Lv Z, Qiu Q, Wu Y. Designing two-level rescue depot location and dynamic rescue policies for unmanned vehicles. Reliab
Eng Syst Safe 2023;233:109119. DOI
127. Gomes J, Mariano P, Christensen AL. Cooperative coevolution of partially heterogeneous multiagent systems. In Proceedings of the
International Conference on Autonomous Agents and Multiagent Systems; Istanbul; 2015.pp. 297-305. Available from: https://dl.