{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:43:30Z","timestamp":1742913810846,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030770907"},{"type":"electronic","value":"9783030770914"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-77091-4_11","type":"book-chapter","created":{"date-parts":[[2021,5,21]],"date-time":"2021-05-21T16:03:21Z","timestamp":1621613001000},"page":"175-190","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Fault-Tolerant Automated Flight Path Planning System for an Ultralight Aircraft"],"prefix":"10.1007","author":[{"given":"Bel\u00e9n Santos","family":"Le\u00f3n","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jane Jean","family":"Kiam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Axel","family":"Schulte","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,5,22]]},"reference":[{"issue":"8","key":"11_CR1","first-page":"1947","volume":"6","author":"B Albaker","year":"2011","unstructured":"Albaker, B., Rahim, N.: Flight path PID controller for propeller-driven fixed-wing unmanned aerial vehicles. Int. J. Phys. Sci. 6(8), 1947\u20131964 (2011)","journal-title":"Int. J. Phys. Sci."},{"key":"11_CR2","doi-asserted-by":"crossref","unstructured":"Bittar, A., Figuereido, H.V., Avelar Guimaraes, P., Correa Mendes, A.: Guidance software-in-the-loop simulation using x-plane and simulink for UAVs. In: 2014 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 993\u20131002. IEEE (2014)","DOI":"10.1109\/ICUAS.2014.6842350"},{"issue":"1","key":"11_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/03610927408827101","volume":"3","author":"T Cali\u0144ski","year":"1974","unstructured":"Cali\u0144ski, T., Harabasz, J.: A dendrite method for cluster analysis. Commun. Stat.-Theory Methods 3(1), 1\u201327 (1974)","journal-title":"Commun. Stat.-Theory Methods"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Chialastri, A.: Automation in Aviation. INTECH Open Access Publisher (2012)","DOI":"10.5772\/49949"},{"key":"11_CR5","unstructured":"Chien, S.A., Knight, R., Stechert, A., Sherwood, R., Rabideau, G.: Using iterative repair to improve the responsiveness of planning and scheduling. In: AIPS, pp. 300\u2013307 (2000)"},{"issue":"2","key":"11_CR6","doi-asserted-by":"publisher","first-page":"23","DOI":"10.3390\/safety4020023","volume":"4","author":"A De Voogt","year":"2018","unstructured":"De Voogt, A., Chaves, F., Harden, E., Silvestre, M., Gamboa, P.: Ultralight Accidents in the US, UK, and Portugal. Safety 4(2), 23 (2018)","journal-title":"Safety"},{"key":"11_CR7","doi-asserted-by":"publisher","first-page":"1048","DOI":"10.1145\/174147.174150","volume":"40","author":"B Donald","year":"1993","unstructured":"Donald, B., Xavier, P., Canny, J., Reif, J.: Kinodynamic motion planning. J. ACM 40, 1048\u20131066 (1993)","journal-title":"J. ACM"},{"key":"11_CR8","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1613\/jair.2044","volume":"27","author":"M Fox","year":"2006","unstructured":"Fox, M., Long, D.: Modelling mixed discrete-continuous domains for planning. J. Artif. Intell. Res. 27, 235\u2013297 (2006)","journal-title":"J. Artif. Intell. Res."},{"issue":"19","key":"11_CR9","first-page":"12","volume":"1","author":"S Giriraj Kumar","year":"2010","unstructured":"Giriraj Kumar, S., Jayaraj, D., Kishan, A.R.: PSO based tuning of a PID controller for a high performance drilling machine. Int. J. Comput. Appl. 1(19), 12\u201318 (2010)","journal-title":"Int. J. Comput. Appl."},{"key":"11_CR10","doi-asserted-by":"publisher","unstructured":"Jolliffe, I.T.: Principal Components Analysis. Springer Series in Statistics 29 (2002). https:\/\/doi.org\/10.1007\/b98835","DOI":"10.1007\/b98835"},{"key":"11_CR11","doi-asserted-by":"crossref","unstructured":"Kiam, J.J., Scala, E., Ramirez Javega, M., Schulte, A.: An AI-based planning framework for HAPS in a time-varying environment. In: Proceedings of the International Conference on Automated Planning and Scheduling, vol. 30, pp. 412\u2013420 (2020)","DOI":"10.1609\/icaps.v30i1.6687"},{"key":"11_CR12","unstructured":"Kreyszig, E.: Advanced Engineering Mathematics, 10th edn. Wiley, Hoboken (2009)"},{"issue":"4","key":"11_CR13","doi-asserted-by":"publisher","first-page":"183","DOI":"10.4173\/mic.2013.4.3","volume":"34","author":"A Lekkas","year":"2013","unstructured":"Lekkas, A., Dahl, A.R., Breivik, M., Fossen, T.I.: Continuous-curvature path generation using fermat\u2019s spiral. J. Modeling Identification Control 34(4), 183\u2013198 (2013)","journal-title":"J. Modeling Identification Control"},{"issue":"2","key":"11_CR14","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"S Lloyd","year":"1982","unstructured":"Lloyd, S.: Least squares quantization in PCM. IEEE Trans. Inf. Theory 28(2), 129\u2013137 (1982)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"11_CR15","unstructured":"Meyer, A.: Laminar Research: X-Plane. https:\/\/www.x-plane.com\/"},{"key":"11_CR16","unstructured":"Oceanic, U.N., Administration, A.: NOMADS-NOAA Operational Model Archive and Distribution System. https:\/\/nomads.ncep.noaa.gov\/"},{"key":"11_CR17","unstructured":"Piprek, P.: Clothoid development for a trajectory system. Master\u2019s thesis, Technical University of Munich (2014)"},{"key":"11_CR18","unstructured":"Santos Le\u00f3n, B., Kiam, J.J., Schulte, A.: Model-based automated flight path planner for an ultralight aircraft. In: CEUR Workshop Proceedings of the 8th Italian Workshop on Planning and Scheduling (IPS), vol. 2745 (2020)"},{"key":"11_CR19","unstructured":"Scala, E.: Expressive Numeric Heuristic Search Planner (ENHSP). https:\/\/gitlab.com\/enricos83\/ENHSP-Public\/"},{"key":"11_CR20","doi-asserted-by":"crossref","unstructured":"Schatz, S.P., Holzapfel, F.: Modular trajectory\/path following controller using nonlinear error dynamics. In: 2014 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, pp. 157\u2013163. IEEE (2014)","DOI":"10.1109\/ICARES.2014.7024374"},{"key":"11_CR21","unstructured":"\u00dcnal, F., Ekici, S.: A new clustering approach for monthly electricity consumption data. In: International Applied Sciences Congress (2020)"},{"key":"11_CR22","doi-asserted-by":"publisher","first-page":"869","DOI":"10.1016\/j.jclepro.2019.02.235","volume":"223","author":"Q Zhu","year":"2019","unstructured":"Zhu, Q., Pei, J., Liu, X., Zhou, Z.: Analyzing commercial aircraft fuel consumption during descent: a case study using an improved k-means clustering algorithm. J. Clean. Prod. 223, 869\u2013882 (2019)","journal-title":"J. Clean. Prod."}],"container-title":["Lecture Notes in Computer Science","AIxIA 2020 \u2013 Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-77091-4_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T06:39:41Z","timestamp":1672209581000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-77091-4_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030770907","9783030770914"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-77091-4_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"22 May 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIxIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of the Italian Association for Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aiia2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aixia2020.disco.unimib.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"89","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"30% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}