{"id":"https://openalex.org/W4403331857","doi":"https://doi.org/10.23919/fusion59988.2024.10706516","title":"Multi-target tracking within large geographical areas - algorithms for improved accuracy and speed","display_name":"Multi-target tracking within large geographical areas - algorithms for improved accuracy and speed","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4403331857","doi":"https://doi.org/10.23919/fusion59988.2024.10706516"},"language":"en","primary_location":{"id":"doi:10.23919/fusion59988.2024.10706516","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion59988.2024.10706516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Information Fusion (FUSION)","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/A5074304892","display_name":"Brita H. H. Gade","orcid":null},"institutions":[{"id":"https://openalex.org/I163244428","display_name":"Norwegian Defence Research Establishment","ror":"https://ror.org/0098gnz32","country_code":"NO","type":"facility","lineage":["https://openalex.org/I163244428"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Brita H. Hafskjold Gade","raw_affiliation_strings":["Norwedian Defence Research Establishment,Kjeller,Norway"],"affiliations":[{"raw_affiliation_string":"Norwedian Defence Research Establishment,Kjeller,Norway","institution_ids":["https://openalex.org/I163244428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000659273","display_name":"Carina N. Vooren","orcid":null},"institutions":[{"id":"https://openalex.org/I163244428","display_name":"Norwegian Defence Research Establishment","ror":"https://ror.org/0098gnz32","country_code":"NO","type":"facility","lineage":["https://openalex.org/I163244428"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Carina N. Vooren","raw_affiliation_strings":["Norwedian Defence Research Establishment,Kjeller,Norway"],"affiliations":[{"raw_affiliation_string":"Norwedian Defence Research Establishment,Kjeller,Norway","institution_ids":["https://openalex.org/I163244428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068057036","display_name":"Alexander Sj\u00f6berg","orcid":null},"institutions":[{"id":"https://openalex.org/I163244428","display_name":"Norwegian Defence Research Establishment","ror":"https://ror.org/0098gnz32","country_code":"NO","type":"facility","lineage":["https://openalex.org/I163244428"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Alexander Meyer Sj\u00f8berg","raw_affiliation_strings":["Norwedian Defence Research Establishment,Kjeller,Norway"],"affiliations":[{"raw_affiliation_string":"Norwedian Defence Research Establishment,Kjeller,Norway","institution_ids":["https://openalex.org/I163244428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012211622","display_name":"Morten Kloster","orcid":null},"institutions":[{"id":"https://openalex.org/I163244428","display_name":"Norwegian Defence Research Establishment","ror":"https://ror.org/0098gnz32","country_code":"NO","type":"facility","lineage":["https://openalex.org/I163244428"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Morten Kloster","raw_affiliation_strings":["Norwedian Defence Research Establishment,Kjeller,Norway"],"affiliations":[{"raw_affiliation_string":"Norwedian Defence Research Establishment,Kjeller,Norway","institution_ids":["https://openalex.org/I163244428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074304892"],"corresponding_institution_ids":["https://openalex.org/I163244428"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15651952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.8382999897003174,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.8382999897003174,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.7314000129699707,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.70225590467453},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6420097351074219},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4415554404258728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36957457661628723},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35563063621520996}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.70225590467453},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6420097351074219},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4415554404258728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36957457661628723},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35563063621520996},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/fusion59988.2024.10706516","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion59988.2024.10706516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W150849948","https://openalex.org/W1589221530","https://openalex.org/W2127923214","https://openalex.org/W2141730410","https://openalex.org/W2183576139","https://openalex.org/W2550505910","https://openalex.org/W2797367632","https://openalex.org/W2891416092","https://openalex.org/W3010690864","https://openalex.org/W3096245097","https://openalex.org/W3108524391","https://openalex.org/W3199820141","https://openalex.org/W4229074172","https://openalex.org/W6637981623"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"This":[0,48],"paper":[1,49],"addresses":[2],"two":[3],"challenges":[4],"which":[5,27,44],"are":[6],"specific":[7],"for":[8],"tracking":[9,54],"large":[10],"amounts":[11],"of":[12,85],"vehicles":[13],"within":[14],"wide":[15],"geographical":[16],"areas.":[17],"The":[18,36],"first":[19],"problem":[20,38],"is":[21,39],"related":[22],"to":[23],"the":[24,30,41,59,65,78,88],"Earth\u2019s":[25],"curvature,":[26],"may":[28,45],"degrade":[29],"prediction":[31,67],"accuracy":[32],"over":[33],"long":[34],"distances.":[35],"second":[37],"concerning":[40],"gating":[42,73,79],"process,":[43],"be":[46],"slow.":[47],"proposes":[50],"a":[51,70,83],"single":[52],"target":[53,72],"algorithm":[55,74],"that":[56,75],"predicts":[57],"along":[58],"great":[60],"circle,":[61],"and":[62,69,87],"thus":[63],"minimizes":[64],"unmodelled":[66],"error,":[68],"multi":[71],"speeds":[76],"up":[77],"process":[80],"by":[81],"using":[82],"combination":[84],"clustering":[86],"n-vector":[89],"position":[90],"representation.":[91]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}