{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,16]],"date-time":"2025-07-16T11:56:04Z","timestamp":1752666964402,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030134525"},{"type":"electronic","value":"9783030134532"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-13453-2_18","type":"book-chapter","created":{"date-parts":[[2019,2,15]],"date-time":"2019-02-15T06:33:53Z","timestamp":1550212433000},"page":"216-221","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support"],"prefix":"10.1007","author":[{"given":"Ihsan","family":"Ullah","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sai","family":"Abinesh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David L.","family":"Smyth","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nazli B.","family":"Karimi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brett","family":"Drury","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frank G.","family":"Glavin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael G.","family":"Madden","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,2,16]]},"reference":[{"issue":"6","key":"18_CR1","doi-asserted-by":"publisher","first-page":"410","DOI":"10.3103\/S0146411617060025","volume":"51","author":"A Baums","year":"2017","unstructured":"Baums, A.: Response to CBRNE and human-caused accidents by using land and air robots. Autom. Control Comput. Sci. 51(6), 410\u2013416 (2017)","journal-title":"Autom. Control Comput. Sci."},{"issue":"3","key":"18_CR2","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1007\/s11518-017-5335-7","volume":"26","author":"G Chroust","year":"2017","unstructured":"Chroust, G., Aumayr, G.: Resilience 2.0: computer-aided disaster management. J. Syst. Sci. Syst. Eng. 26(3), 321\u2013335 (2017)","journal-title":"J. Syst. Sci. Syst. Eng."},{"issue":"7","key":"18_CR3","doi-asserted-by":"publisher","first-page":"992","DOI":"10.1016\/j.resuscitation.2012.12.011","volume":"84","author":"D Cohen","year":"2013","unstructured":"Cohen, D., et al.: Tactical and operational response to major incidents: feasibility and reliability of skills assessment using novel virtual environments. Resuscitation 84(7), 992\u2013998 (2013)","journal-title":"Resuscitation"},{"issue":"1","key":"18_CR4","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.resuscitation.2012.05.014","volume":"84","author":"D Cohen","year":"2013","unstructured":"Cohen, D., et al.: Emergency preparedness in the 21st century: training and preparation modules in virtual environments. Resuscitation 84(1), 78\u201384 (2013)","journal-title":"Resuscitation"},{"key":"18_CR5","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask R-CNN. In: Conference on Computer Vision (ICCV), pp. 2980\u20132988 (2017)","DOI":"10.1109\/ICCV.2017.322"},{"key":"18_CR6","doi-asserted-by":"crossref","unstructured":"Jasiobedzki, P., Ng, H.-K., Bondy, M., McDiarmid, C.H.: C2SM: a mobile system for detecting and 3D mapping of chemical, radiological, and nuclear contamination. In: Sensors, and Command, Control, Communications, and Intelligence (C3I) (2009)","DOI":"10.1117\/12.817830"},{"key":"18_CR7","unstructured":"Marques, M.M., et al.: GammaEx project: a solution for CBRN remote sensing using unmanned aerial vehicles in maritime environments. In: OCEANS-Anchorage, pp. 1\u20136. IEEE (2017)"},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Milch, B., Marthi, B., Russell, S., Sontag, D., Ong, D.L., Kolobov, A.: BLOG: probabilistic models with unknown objects. In: Statistical Relational Learning, p. 373 (2007)","DOI":"10.7551\/mitpress\/7432.003.0015"},{"key":"18_CR9","unstructured":"Mossel, A., Peer, A., G\u00f6llner, J., Kaufmann, H.: Requirements analysis on a virtual reality training system for CBRN crisis preparedness. In: 59th Annual Meeting of the ISSS, vol. 1, pp. 928\u2013947 (2017)"},{"key":"18_CR10","doi-asserted-by":"crossref","unstructured":"Pan, X., You, Y., Wang, Z., Lu, C.: Virtual to real reinforcement learning for autonomous driving. arXiv:1704.03952 (2017)","DOI":"10.5244\/C.31.11"},{"key":"18_CR11","volume-title":"RESTful Web APIs","author":"L Richardson","year":"2013","unstructured":"Richardson, L., Amundsen, M., Ruby, S.: RESTful Web APIs. O\u2019Reilly Media Inc., Newton (2013)"},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Schneider, F.E., Welle, J., Wildermuth, D., Ducke, M.: Unmanned multi-robot CBRNE reconnaissance with mobile manipulation system description and technical validation. In: 13th International Carpathian Control Conference (ICCC), pp. 637\u2013642. IEEE (2012)","DOI":"10.1109\/CarpathianCC.2012.6228724"},{"key":"18_CR13","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1007\/978-3-319-67361-5_40","volume-title":"Field and Service Robotics","author":"S Shah","year":"2017","unstructured":"Shah, S., Dey, D., Lovett, C., Kapoor, A.: AirSim: high-fidelity visual and physical simulation for autonomous vehicles. In: Hutter, M., Siegwart, R. (eds.) Field and Service Robotics, vol. 5, pp. 621\u2013635. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-67361-5_40"},{"key":"18_CR14","doi-asserted-by":"crossref","unstructured":"Smyth, D.L., et al.: A virtual environment with multi-robot navigation, analytics, and decision support for critical incident investigation. In: 27th International Joint Conference on Artificial Intelligence, IJCAI. arXiv:1806.04497 (2018)","DOI":"10.24963\/ijcai.2018\/863"},{"key":"18_CR15","unstructured":"Smyth, D.L., Glavin, F.G., Madden, M.G.: UE4 virtual environment: rural rail radiation scenario (2018). https:\/\/github.com\/ROCSAFE\/CBRNeVirtualEnvMultiRobot\/releases"},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Smyth, D.L., Glavin, F.G., Madden, M.G.: Using a game engine to simulate critical incidents and data collection by autonomous drones. In: IEEE Games, Entertainment and Media (2018)","DOI":"10.1109\/GEM.2018.8516527"},{"issue":"2","key":"18_CR17","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1109\/JAS.2017.7510841","volume":"5","author":"Y Tian","year":"2018","unstructured":"Tian, Y., Li, X., Wang, K., Wang, F.-Y.: Training and testing object detectors with virtual images. J. Automatica Sinica 5(2), 539\u2013546 (2018)","journal-title":"J. Automatica Sinica"},{"key":"18_CR18","unstructured":"Ulmer, M.W., Goodson, J.C., Mattfeld, D.C., Thomas, B.W.: Route-based Markov decision processes for dynamic vehicle routing problems. Technical report, Braunschweig (2017)"},{"key":"18_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1007\/978-3-319-61833-3_48","volume-title":"Advances in Swarm Intelligence","author":"Y Wang","year":"2017","unstructured":"Wang, Y., Zhang, M.-X., Zheng, Y.-J.: A hyper-heuristic method for UAV search planning. In: Tan, Y., Takagi, H., Shi, Y., Niu, B. (eds.) ICSI 2017. LNCS, vol. 10386, pp. 454\u2013464. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-61833-3_48"},{"key":"18_CR20","doi-asserted-by":"crossref","unstructured":"Xia, G.-S., et al.: DOTA: a large-scale dataset for object detection in aerial images. arXiv:1711.10398 (2017)","DOI":"10.1109\/CVPR.2018.00418"}],"container-title":["Lecture Notes in Computer Science","ECML PKDD 2018 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-13453-2_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T01:04:24Z","timestamp":1707959064000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-13453-2_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030134525","9783030134532"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-13453-2_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"16 February 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dublin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ireland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ecmlpkdd2018.org\/","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"535","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":"131","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":"17","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":"24% - 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":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","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)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}