{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T07:44:11Z","timestamp":1765439051196,"version":"3.44.0"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783032014856"},{"type":"electronic","value":"9783032014863"}],"license":[{"start":{"date-parts":[[2025,8,13]],"date-time":"2025-08-13T00:00:00Z","timestamp":1755043200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,13]],"date-time":"2025-08-13T00:00:00Z","timestamp":1755043200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-01486-3_31","type":"book-chapter","created":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T15:47:15Z","timestamp":1755618435000},"page":"405-418","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Coverage Path Planning for\u00a0Structural Inspections with\u00a0UAV"],"prefix":"10.1007","author":[{"given":"Cl\u00e9ment","family":"Laguerre","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9831-0127","authenticated-orcid":false,"given":"Hae-In","family":"Lee","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9999-9501","authenticated-orcid":false,"given":"Namhoon","family":"Cho","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3966-7633","authenticated-orcid":false,"given":"Antonios","family":"Tsourdos","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,8,13]]},"reference":[{"key":"31_CR1","doi-asserted-by":"publisher","first-page":"58383","DOI":"10.1109\/ACCESS.2018.2875040","volume":"6","author":"HV Abeywickrama","year":"2018","unstructured":"Abeywickrama, H.V., Jayawickrama, B.A., He, Y., Dutkiewicz, E.: Comprehensive energy consumption model for unmanned aerial vehicles, based on empirical studies of battery performance. IEEE Access 6, 58383\u201358394 (2018). https:\/\/doi.org\/10.1109\/ACCESS.2018.2875040","journal-title":"IEEE Access"},{"key":"31_CR2","doi-asserted-by":"publisher","unstructured":"Almadhoun, R., Taha, T., Gan, D., Dias, J., Zweiri, Y., Seneviratne, L.: Coverage path planning with adaptive viewpoint sampling to construct 3D models of complex structures for the purpose of inspection. In: IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 7047\u20137054. Madrid, Spain (2018). https:\/\/doi.org\/10.1109\/IROS.2018.8593719","DOI":"10.1109\/IROS.2018.8593719"},{"key":"31_CR3","doi-asserted-by":"publisher","unstructured":"Asa, K., Funabora, Y., Doki, S., Doki, K.: Evaluation in real world of the measuring position determination for visual inspection using UAV. In: 44th Annual Conference of the IEEE Industrial Electronics Society, pp. 2711\u20132716. Washington, DC, USA (2018). https:\/\/doi.org\/10.1109\/IECON.2018.8591270","DOI":"10.1109\/IECON.2018.8591270"},{"key":"31_CR4","doi-asserted-by":"crossref","unstructured":"Englot, B.J.: Sampling-based coverage path planning for complex 3d structures. Ph.D. thesis, Massachusetts Institute of Technology (2012)","DOI":"10.1609\/icaps.v22i1.13529"},{"key":"31_CR5","unstructured":"Garlapati, V., Dasgupta, P.: A complete coverage algorithm for 3D structural inspection using an autonomous unmanned aerial vehicle. In: Thirty-First International Florida Artificial Intelligence Research Society Conference, pp. 342\u2013347. Melbourne, FL, USA (2018)"},{"issue":"1","key":"31_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00138-021-01252-z","volume":"33","author":"P Gospodneti\u0107","year":"2021","unstructured":"Gospodneti\u0107, P., Mosbach, D., Rauhut, M., Hagen, H.: Viewpoint placement for inspection planning. Mach. Vis. Appl. 33(1), 1\u201321 (2021). https:\/\/doi.org\/10.1007\/s00138-021-01252-z","journal-title":"Mach. Vis. Appl."},{"key":"31_CR7","doi-asserted-by":"publisher","unstructured":"Gronle, M., Osten, W.: View and sensor planning for multi-sensor surface inspection. Surf. Topogr. Metrol. Prop. 4(2) (2016).https:\/\/doi.org\/10.1088\/2051-672X\/4\/2\/024009","DOI":"10.1088\/2051-672X\/4\/2\/024009"},{"key":"31_CR8","doi-asserted-by":"publisher","unstructured":"Jing, W., Deng, D., Wu, Y., Shimada, K.: Multi-UAV coverage path planning for the inspection of large and complex structures. In: IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 1480\u20131486. Las Vegas, NV, USA (2020).https:\/\/doi.org\/10.1109\/IROS45743.2020.9341089","DOI":"10.1109\/IROS45743.2020.9341089"},{"key":"31_CR9","doi-asserted-by":"publisher","unstructured":"Jung, S., Song, S., Youn, P., Myung, H.: Multi-layer coverage path planner for autonomous structural inspection of high-rise structures. In: IEEE\/RSJ International Conference on Intelligent Robots and Systems. pp.\u00a01\u20139. Madrid, Spain (2018).https:\/\/doi.org\/10.1109\/IROS.2018.8593537","DOI":"10.1109\/IROS.2018.8593537"},{"key":"31_CR10","doi-asserted-by":"publisher","unstructured":"Khoufi, I., Laouiti, A., Adjih, C.: A survey of recent extended variants of the traveling salesman and vehicle routing problems for unmanned aerial vehicles. Drones 3(3) (2019).https:\/\/doi.org\/10.3390\/drones3030066","DOI":"10.3390\/drones3030066"},{"key":"31_CR11","doi-asserted-by":"publisher","unstructured":"Laguerre, C.: Uav_structural_inspection (2025).https:\/\/doi.org\/10.5281\/zenodo.15556065. Accessed 30 May 2025","DOI":"10.5281\/zenodo.15556065"},{"key":"31_CR12","unstructured":"MATHWORKS: intlinprog (2025). https:\/\/fr.mathworks.com\/help\/optim\/ug\/intlinprog.html.Accessed 27 May 2025"},{"issue":"1","key":"31_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00138-020-01116-y","volume":"32","author":"D Mosbach","year":"2020","unstructured":"Mosbach, D., Gospodneti\u0107, P., Rauhut, M., Hamann, B., Hagen, H.: Feature-Driven Viewpoint Placement for Model-Based Surface Inspection. Mach. Vis. Appl. 32(1), 1\u201321 (2020). https:\/\/doi.org\/10.1007\/s00138-020-01116-y","journal-title":"Mach. Vis. Appl."},{"key":"31_CR14","doi-asserted-by":"publisher","unstructured":"Rinaldi, G., Thies, P.R., Johanning, L.: Current status and future trends in the operation and maintenance of offshore wind turbines: A review. Energies 14(9) (2021).https:\/\/doi.org\/10.3390\/en14092484","DOI":"10.3390\/en14092484"},{"key":"31_CR15","doi-asserted-by":"publisher","unstructured":"Scott, W.R.: Viewpoint placement for inspection planning. Mach. Vision Appl. 20, 47\u201369 (2009).https:\/\/doi.org\/10.1007\/s00138-007-0110-2","DOI":"10.1007\/s00138-007-0110-2"},{"key":"31_CR16","doi-asserted-by":"publisher","unstructured":"Staderini, V., Gl\u00fcck, T., Schneider, P., Mecca, R., Kugi, A.: Surface sampling for optimal viewpoint generation. In: 13th IEEE International Conference on Pattern Recognition Systems, pp.\u00a01\u20137. Guayaquil, Ecuador (2023).https:\/\/doi.org\/10.1109\/ICPRS58416.2023.10179043","DOI":"10.1109\/ICPRS58416.2023.10179043"},{"key":"31_CR17","doi-asserted-by":"crossref","unstructured":"Thibbotuwawa, A., Nielsen, P., Zbigniew, B., Bocewicz, G.: Energy consumption in unmanned aerial vehicles: A review of energy consumption models and their relation to the UAV routing. In: 39th International Conference on Information Systems Architecture and Technology, pp. 173\u2013184. Nysa, Poland (2018)","DOI":"10.1007\/978-3-319-99996-8_16"},{"key":"31_CR18","doi-asserted-by":"publisher","unstructured":"Tong, H.W., Li, B., Huang, H., Wen, C.: UAV path planning for complete structural inspection using mixed viewpoint generation. In: 17th International Conference on Control, Automation, Robotics and Vision, pp. 727\u2013732. Singapore (2022). https:\/\/doi.org\/10.1109\/ICARCV57592.2022.10004359","DOI":"10.1109\/ICARCV57592.2022.10004359"},{"key":"31_CR19","doi-asserted-by":"publisher","unstructured":"Wu, W.: Evaluation and enhancement of resolution-aware coverage path planning method for surface inspection using unmanned aerial vehicles. IEEE Access 12, 16753\u201316766 (2024).https:\/\/doi.org\/10.1109\/ACCESS.2024.3359056","DOI":"10.1109\/ACCESS.2024.3359056"},{"key":"31_CR20","unstructured":"Yacef, F., Rizoug, N., Bouhali, O., Hamerlain, M.: Optimization of energy consumption for quadrotor UAV. In: 9th International Micro Air Vehicle Conference and Flight Competition 2017, pp. 215\u2013222. Toulouse, France (2017)"},{"key":"31_CR21","doi-asserted-by":"publisher","unstructured":"Yacef, F., Rizoug, N., Degaa, L., Hamerlain, M.: Energy-efficiency path planning for quadrotor UAV under wind conditions. In: 7th International Conference on Control, Decision and Information Technologies, pp. 1133\u20131138. Prague, Czech Republic (2020).https:\/\/doi.org\/10.1109\/CoDIT49905.2020.9263968","DOI":"10.1109\/CoDIT49905.2020.9263968"},{"key":"31_CR22","doi-asserted-by":"publisher","unstructured":"Zhang, K., Pakrashi, V., Murphy, J., Hao, G.: Inspection of floating offshore wind turbines using multi-rotor unmanned aerial vehicles: Literature review and trends. Sensors 24(3) (2024).https:\/\/doi.org\/10.3390\/s24030911","DOI":"10.3390\/s24030911"}],"container-title":["Lecture Notes in Computer Science","Towards Autonomous Robotic Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-01486-3_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T15:47:20Z","timestamp":1755618440000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-01486-3_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,13]]},"ISBN":["9783032014856","9783032014863"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-01486-3_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,8,13]]},"assertion":[{"value":"13 August 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"TAROS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Annual Conference Towards Autonomous Robotic Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"York","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"taros2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/taros-conference.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}