{"id":"https://openalex.org/W3161597937","doi":"https://doi.org/10.1109/icpr48806.2021.9412966","title":"Unconstrained Vision Guided UAV Based Safe Helicopter Landing","display_name":"Unconstrained Vision Guided UAV Based Safe Helicopter Landing","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3161597937","doi":"https://doi.org/10.1109/icpr48806.2021.9412966","mag":"3161597937"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043177235","display_name":"Arindam Sikdar","orcid":"https://orcid.org/0000-0002-5697-0060"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Arindam Sikdar","raw_affiliation_strings":["Jadavpur University, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019566174","display_name":"Abhimanyu Sahu","orcid":"https://orcid.org/0000-0001-8832-1842"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhimanyu Sahu","raw_affiliation_strings":["Jadavpur University, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048204227","display_name":"Debajit Sen","orcid":"https://orcid.org/0000-0003-4760-1674"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Debajit Sen","raw_affiliation_strings":["Elmax Systems and Solutions, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Elmax Systems and Solutions, Kolkata, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113881430","display_name":"Rohit Mahajan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rohit Mahajan","raw_affiliation_strings":["Elmax Systems and Solutions, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Elmax Systems and Solutions, Kolkata, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031703924","display_name":"Ananda S. Chowdhury","orcid":"https://orcid.org/0000-0002-5799-3467"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ananda S. Chowdhury","raw_affiliation_strings":["Jadavpur University, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043177235"],"corresponding_institution_ids":["https://openalex.org/I170979836"],"apc_list":null,"apc_paid":null,"fwci":4.3789,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.95081074,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"8328","last_page":"8335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6828722357749939},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6295504570007324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5992856621742249},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.5927674174308777},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5882792472839355},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.5535696148872375},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41645729541778564},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1684730350971222}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6828722357749939},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6295504570007324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5992856621742249},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.5927674174308777},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5882792472839355},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.5535696148872375},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41645729541778564},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1684730350971222},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/6217747e-31c0-4e67-b719-f7566d1a87ab","is_oa":false,"landing_page_url":"https://research.edgehill.ac.uk/en/publications/6217747e-31c0-4e67-b719-f7566d1a87ab","pdf_url":null,"source":{"id":"https://openalex.org/S4306402462","display_name":"Edge Hill University Research Information Repository (Edge Hill University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165525304","host_organization_name":"Edge Hill University","host_organization_lineage":["https://openalex.org/I165525304"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sikdar, A, Sahu, A, Sen, D, Mahajan, R & Chowdhury, A S 2021, Unconstrained vision guided UAV based safe helicopter landing. in Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition., 9412966, Proceedings - International Conference on Pattern Recognition, Institute of Electrical and Electronics Engineers Inc., pp. 8328-8335, 25th International Conference on Pattern Recognition, ICPR 2020, Virtual, Milan, Italy, 10/01/21. https://doi.org/10.1109/ICPR48806.2021.9412966","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W412911888","https://openalex.org/W1627400044","https://openalex.org/W1677409904","https://openalex.org/W1964715412","https://openalex.org/W1972969203","https://openalex.org/W1985059878","https://openalex.org/W1994383353","https://openalex.org/W1999593548","https://openalex.org/W2007441987","https://openalex.org/W2027696584","https://openalex.org/W2037031008","https://openalex.org/W2088857627","https://openalex.org/W2098303625","https://openalex.org/W2099901716","https://openalex.org/W2103052138","https://openalex.org/W2112878765","https://openalex.org/W2134089414","https://openalex.org/W2148054235","https://openalex.org/W2153563330","https://openalex.org/W2157876708","https://openalex.org/W2158598687","https://openalex.org/W2163943962","https://openalex.org/W2398529965","https://openalex.org/W2579993107","https://openalex.org/W2608090458","https://openalex.org/W2886971274","https://openalex.org/W2905070103","https://openalex.org/W2909785253","https://openalex.org/W2964284340","https://openalex.org/W4251504644","https://openalex.org/W6636759986","https://openalex.org/W6637400245","https://openalex.org/W6679849079","https://openalex.org/W6681718778"],"related_works":["https://openalex.org/W132764016","https://openalex.org/W2148054235","https://openalex.org/W4251504644","https://openalex.org/W2132043085","https://openalex.org/W4229448053","https://openalex.org/W2369285629","https://openalex.org/W2123437433","https://openalex.org/W2737258383","https://openalex.org/W2101703235","https://openalex.org/W2935803391"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"have":[4,97],"addressed":[5],"the":[6,33,43,154,157],"problem":[7,44],"of":[8,11,32,51,129,147,156],"automated":[9],"detection":[10,54,144],"safe":[12,68,142],"zone(s)":[13],"for":[14,140],"helicopter":[15],"landing":[16,69],"in":[17,39,77,86,127,145],"hazardous":[18],"environments":[19],"from":[20],"videos":[21],"captured":[22,112],"by":[23,113],"an":[24],"Unmanned":[25],"Aerial":[26],"Vehicle":[27],"(UAV).":[28],"The":[29,47,72],"unconstrained":[30],"motion":[31],"video":[34,110],"capturing":[35],"drone":[36],"(the":[37],"UAV":[38],"our":[40],"case)":[41],"makes":[42],"further":[45],"difficult.":[46],"solution":[48],"pipeline":[49],"consists":[50],"natural":[52],"landmark":[53],"and":[55,67,82,132,149],"tracking,":[56],"stereo-pair":[57],"generation":[58],"using":[59,84],"constrained":[60],"graph":[61,93],"clustering,":[62],"digital":[63],"terrain":[64],"map":[65],"construction":[66],"zone":[70,143],"detection.":[71],"main":[73],"methodological":[74],"contribution":[75],"lies":[76],"mathematically":[78],"formulating":[79],"epipolar":[80],"constraint":[81],"then":[83],"it":[85],"a":[87,107,114],"Minimum":[88],"Spanning":[89],"Tree":[90],"(MST)":[91],"based":[92],"clustering":[94,124],"approach.":[95],"We":[96],"also":[98],"made":[99],"publicly":[100],"available":[101],"AHL":[102],"(Autonomous":[103],"Helicopter":[104],"Landing)":[105],"dataset,":[106],"new":[108],"aerial":[109],"dataset":[111],"drone,":[115],"with":[116,121],"annotated":[117],"ground-truths.":[118],"Experimental":[119],"comparisons":[120],"other":[122],"competing":[123],"methods":[125],"i)":[126],"terms":[128,146],"Dunn":[130],"Index":[131,135],"Davies":[133],"Bouldin":[134],"as":[136,138],"well":[137],"ii)":[139],"frame-level":[141],"F-measure":[148],"confusion":[150],"matrix":[151],"clearly":[152],"demonstrate":[153],"effectiveness":[155],"proposed":[158],"formulation.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-22T08:38:42.863108","created_date":"2025-10-10T00:00:00"}