{"id":"https://openalex.org/W2594031935","doi":"https://doi.org/10.1109/robio.2016.7866418","title":"Vision-based autonomous docking for self-reconfigurable CubeSats","display_name":"Vision-based autonomous docking for self-reconfigurable CubeSats","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2594031935","doi":"https://doi.org/10.1109/robio.2016.7866418","mag":"2594031935"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2016.7866418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2016.7866418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5009212532","display_name":"Yimeng Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I166846921","display_name":"Liaoning Shihua University","ror":"https://ror.org/00k6c4h29","country_code":"CN","type":"education","lineage":["https://openalex.org/I166846921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimeng Fu","raw_affiliation_strings":["Academy of Information and Control Engineering, Liaoning Shihua University, Fushun, CO, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Information and Control Engineering, Liaoning Shihua University, Fushun, CO, China","institution_ids":["https://openalex.org/I166846921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045978264","display_name":"Chenli Su","orcid":null},"institutions":[{"id":"https://openalex.org/I166846921","display_name":"Liaoning Shihua University","ror":"https://ror.org/00k6c4h29","country_code":"CN","type":"education","lineage":["https://openalex.org/I166846921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenli Su","raw_affiliation_strings":["Academy of Information and Control Engineering, Liaoning Shihua University, Fushun, CO, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Information and Control Engineering, Liaoning Shihua University, Fushun, CO, China","institution_ids":["https://openalex.org/I166846921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060877237","display_name":"Jinguo Liu","orcid":"https://orcid.org/0000-0002-6790-6582"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinguo Liu","raw_affiliation_strings":["Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, CO, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, CO, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043311744","display_name":"Qing Gao","orcid":"https://orcid.org/0000-0002-5395-6175"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qing Gao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371732","display_name":"Tian Zhang","orcid":"https://orcid.org/0000-0002-2652-0974"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5018297566","display_name":"Tongtong Tian","orcid":"https://orcid.org/0000-0003-1470-2962"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tongtong Tian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0463,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91390781,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"780","last_page":"787"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12449","display_name":"Spacecraft Design and Technology","score":0.9700999855995178,"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/T12449","display_name":"Spacecraft Design and Technology","score":0.9700999855995178,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9577999711036682,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9276999831199646,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7290908694267273},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7104774713516235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.660810112953186},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.543415367603302},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.5214568972587585},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.4972091019153595},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4759601950645447},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4702526330947876},{"id":"https://openalex.org/keywords/cubesat","display_name":"CubeSat","score":0.46296074986457825},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.45523810386657715},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44650107622146606},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19569700956344604},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18574070930480957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09951186180114746}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7290908694267273},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7104774713516235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.660810112953186},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.543415367603302},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.5214568972587585},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.4972091019153595},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4759601950645447},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4702526330947876},{"id":"https://openalex.org/C2775936636","wikidata":"https://www.wikidata.org/wiki/Q1142930","display_name":"CubeSat","level":3,"score":0.46296074986457825},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.45523810386657715},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44650107622146606},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19569700956344604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18574070930480957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09951186180114746},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/robio.2016.7866418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2016.7866418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.sia.cn/:173321/20190","is_oa":false,"landing_page_url":"http://ir.sia.cn/handle/173321/20190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fu, Yimeng,Su, Chenli,Liu JG,et al. Vision-based autonomous docking for self-reconfigurable CubeSats[C]. 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO 2016). Qingdao, China. December 3-7, 2016.Vision-based autonomous docking for self-reconfigurable CubeSats.","raw_type":"\u4f1a\u8bae\u8bba\u6587"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1539512655","https://openalex.org/W1797251278","https://openalex.org/W1975660415","https://openalex.org/W1991544872","https://openalex.org/W2018052006","https://openalex.org/W2037031008","https://openalex.org/W2060632169","https://openalex.org/W2071315556","https://openalex.org/W2101683779","https://openalex.org/W2109364787","https://openalex.org/W2133059825","https://openalex.org/W2156040841","https://openalex.org/W2319574154","https://openalex.org/W2331932209","https://openalex.org/W2349494562","https://openalex.org/W2356573839","https://openalex.org/W2381241023","https://openalex.org/W4285719527","https://openalex.org/W6632245094","https://openalex.org/W6680096826","https://openalex.org/W6728192083"],"related_works":["https://openalex.org/W3013652190","https://openalex.org/W2811405652","https://openalex.org/W2945375999","https://openalex.org/W194955587","https://openalex.org/W2743612109","https://openalex.org/W1562925748","https://openalex.org/W2547407241","https://openalex.org/W3928735","https://openalex.org/W4220852915","https://openalex.org/W2064811002"],"abstract_inverted_index":{"To":[0],"meet":[1,164],"the":[2,49,66,69,73,81,88,95,99,105,111,120,127,131,141,145,165],"performance":[3],"requirements":[4,166],"of":[5,13,48,68,72,80,91,104,130,144,167],"real-time":[6,160],"and":[7,30,102,140,162],"high":[8],"accuracy":[9,129],"for":[10],"autonomous":[11,154],"docking":[12,155],"modular":[14],"self-reconfigurable":[15],"CubeSats,":[16],"a":[17,24,28,40,158],"vision-based":[18],"method":[19,57,156],"is":[20,43,58,136,148],"proposed":[21,59,153],"by":[22,86,110],"setting":[23],"cooperative":[25,74,82],"target":[26,83,133],"on":[27,61,119],"CubeSat":[29,107,147],"combining":[31],"with":[32],"Fractional-Order":[33],"Darwinian":[34],"Particle":[35],"Swarm":[36],"Optimization":[37],"algorithm.":[38,113],"Firstly,":[39],"monocular":[41],"camera":[42],"utilized":[44],"to":[45,64],"grab":[46],"images":[47],"cooperation":[50,132],"target.":[51,75],"Then":[52],"an":[53],"image":[54],"intelligent":[55],"segmentation":[56],"based":[60],"FO-DPSO":[62],"algorithm":[63],"achieve":[65],"recognition":[67],"feature":[70,77,134],"points":[71,135],"These":[76],"points'":[78],"coordinates":[79],"are":[84,108,116],"acquired":[85],"extracting":[87],"regional":[89],"center":[90],"ellipse":[92],"areas":[93],"from":[94],"grabbed":[96],"images.":[97],"Finally,":[98],"relative":[100],"position":[101],"attitude":[103],"tracking":[106,146],"calculated":[109],"EPnP":[112],"The":[114,123,152],"experiments":[115],"carried":[117],"out":[118],"established":[121],"prototype.":[122],"results":[124],"show":[125],"that":[126],"extraction":[128],"within":[137,149],"0.932":[138],"pixel,":[139],"positioning":[142],"deviation":[143],"0.025":[150],"mm.":[151],"has":[157],"good":[159],"performance,":[161],"can":[163],"practical":[168],"application.":[169]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
