{"id":"https://openalex.org/W2953290305","doi":"https://doi.org/10.1186/s42492-019-0014-9","title":"Simulating unmanned aerial vehicle flight control and collision detection","display_name":"Simulating unmanned aerial vehicle flight control and collision detection","publication_year":2019,"publication_date":"2019-06-21","ids":{"openalex":"https://openalex.org/W2953290305","doi":"https://doi.org/10.1186/s42492-019-0014-9","mag":"2953290305","pmid":"https://pubmed.ncbi.nlm.nih.gov/32240392"},"language":"en","primary_location":{"id":"doi:10.1186/s42492-019-0014-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-019-0014-9","pdf_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-019-0014-9","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-019-0014-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064026154","display_name":"Mengtian Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210154792","display_name":"Virtual Technology (United States)","ror":"https://ror.org/054grzz74","country_code":"US","type":"company","lineage":["https://openalex.org/I4210154792"]},{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Mengtian Liu","raw_affiliation_strings":["Beijing Engineering Technology Research Center of Virtual Simulation and Visualization (Peking University), Beijing, 100871, China","Peking University Shenzhen Graduate School, Shenzhen, 518055, China","Peking University Shenzhen Graduate School, Shenzhen, China","Beijing Engineering Technology Research Center of Virtual Simulation and Visualization (Peking University), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Engineering Technology Research Center of Virtual Simulation and Visualization (Peking University), Beijing, 100871, China","institution_ids":["https://openalex.org/I4210154792"]},{"raw_affiliation_string":"Peking University Shenzhen Graduate School, Shenzhen, 518055, China","institution_ids":["https://openalex.org/I4210128628"]},{"raw_affiliation_string":"Peking University Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]},{"raw_affiliation_string":"Beijing Engineering Technology Research Center of Virtual Simulation and Visualization (Peking University), Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055461368","display_name":"Meng Gai","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Gai","raw_affiliation_strings":["School of EECS, Peking University, Beijing, 100871, China","School of EECS, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EECS, Peking University, Beijing, 100871, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of EECS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054085099","display_name":"Shunnan Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shunnan Lai","raw_affiliation_strings":["School of EECS, Peking University, Beijing, 100871, China. snlai@pku.edu.cn","School of EECS, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EECS, Peking University, Beijing, 100871, China. snlai@pku.edu.cn","institution_ids":[]},{"raw_affiliation_string":"School of EECS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054085099"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.1021,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42562042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":"1","first_page":"5","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12158","display_name":"Guidance and Control Systems","score":0.9983000159263611,"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/orientation","display_name":"Orientation (vector space)","score":0.680539071559906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6306284666061401},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49178650975227356},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.48248031735420227},{"id":"https://openalex.org/keywords/collision-detection","display_name":"Collision detection","score":0.4646351635456085},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.4620228707790375},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.4436289072036743},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4338568449020386},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.42909902334213257},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4090280830860138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3644960820674896},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34308934211730957},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07047754526138306}],"concepts":[{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.680539071559906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6306284666061401},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49178650975227356},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.48248031735420227},{"id":"https://openalex.org/C199668693","wikidata":"https://www.wikidata.org/wiki/Q1550329","display_name":"Collision detection","level":3,"score":0.4646351635456085},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.4620228707790375},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.4436289072036743},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4338568449020386},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.42909902334213257},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4090280830860138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3644960820674896},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34308934211730957},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07047754526138306},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s42492-019-0014-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-019-0014-9","pdf_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-019-0014-9","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},{"id":"pmid:32240392","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32240392","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual computing for industry, biomedicine, and art","raw_type":null},{"id":"pmh:oai:doaj.org/article:807bb0ad88c845d79d7dfdcd7aa9a79e","is_oa":false,"landing_page_url":"https://doaj.org/article/807bb0ad88c845d79d7dfdcd7aa9a79e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art, Vol 2, Iss 1, Pp 1-7 (2019)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:6062130","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7099572","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s42492-019-0014-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-019-0014-9","pdf_url":"https://vciba.springeropen.com/track/pdf/10.1186/s42492-019-0014-9","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4992416834","display_name":null,"funder_award_id":"61472010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7289426049","display_name":null,"funder_award_id":"61661146002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2953290305.pdf","grobid_xml":"https://content.openalex.org/works/W2953290305.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1541590363","https://openalex.org/W1559327333","https://openalex.org/W1993428686","https://openalex.org/W1999250663","https://openalex.org/W2039791793","https://openalex.org/W2053212688","https://openalex.org/W2080367427","https://openalex.org/W2082257959","https://openalex.org/W2085623174","https://openalex.org/W2135563145","https://openalex.org/W2333681081","https://openalex.org/W2557658821"],"related_works":["https://openalex.org/W2138088016","https://openalex.org/W50150243","https://openalex.org/W2378397751","https://openalex.org/W1819938260","https://openalex.org/W2350654972","https://openalex.org/W2087636052","https://openalex.org/W2107162315","https://openalex.org/W1490793564","https://openalex.org/W2340892746","https://openalex.org/W2122683109"],"abstract_inverted_index":{"An":[0],"unmanned":[1],"aerial":[2,21],"vehicle":[3],"(UAV)":[4],"is":[5,15,41,97,126],"a":[6,74,84,89,109,120,123,143],"small,":[7],"fast":[8],"aircraft":[9],"with":[10,122],"many":[11],"useful":[12],"features.":[13],"It":[14],"widely":[16],"used":[17,98],"in":[18,88,108,128],"military":[19],"reconnaissance,":[20],"photography,":[22],"searches,":[23],"and":[24,33,46,77,80,86,103,136,153],"other":[25],"fields;":[26],"it":[27],"also":[28],"has":[29,63],"very":[30],"good":[31],"practical-application":[32],"development":[34],"prospects.":[35],"Since":[36],"the":[37,65,101,106,115,133,138],"UAV's":[38,75],"flight":[39,47,76,151],"orientation":[40,45,78,102,154],"easily":[42],"changeable,":[43],"its":[44,55],"path":[48],"are":[49],"difficult":[50],"to":[51,54,99,131],"control,":[52,79,155],"leading":[53],"high":[56],"damage":[57],"rate.":[58],"Therefore,":[59],"UAV":[60,85,107,150],"flight-control":[61],"technology":[62],"become":[64],"focus":[66],"of":[67,105,114],"attention.":[68],"This":[69,141],"study":[70],"focuses":[71],"on":[72,149],"simulating":[73],"detecting":[81],"collisions":[82],"between":[83],"objects":[87],"complex":[90],"virtual":[91,110],"environment.":[92,111],"The":[93],"proportional-integral-derivative":[94],"control":[95,100],"algorithm":[96],"position":[104,152],"A":[112],"version":[113],"bounding-box":[116],"method":[117,145],"that":[118],"combines":[119],"grid":[121],"k-dimensional":[124],"tree":[125],"adopted":[127],"this":[129],"paper,":[130],"improve":[132],"system":[134],"performance":[135],"accelerate":[137],"collision-detection":[139],"process.":[140],"provides":[142],"practical":[144],"for":[146],"future":[147],"studies":[148],"collision":[156],"detection,":[157],"etc.":[158]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}