{"id":"https://openalex.org/W4391793566","doi":"https://doi.org/10.1145/3632971.3632992","title":"Humanoid Soccer Robot Target Detection and Localization","display_name":"Humanoid Soccer Robot Target Detection and Localization","publication_year":2023,"publication_date":"2023-07-07","ids":{"openalex":"https://openalex.org/W4391793566","doi":"https://doi.org/10.1145/3632971.3632992"},"language":"en","primary_location":{"id":"doi:10.1145/3632971.3632992","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3632971.3632992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Joint Conference on Robotics and Artificial Intelligence","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/A5007647867","display_name":"HU Jun-fei","orcid":"https://orcid.org/0009-0003-1034-8975"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junfei Hu","raw_affiliation_strings":["Beijing Information Science and Technology University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024369115","display_name":"Bixi Yan","orcid":"https://orcid.org/0009-0008-6280-8183"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bixi Yan","raw_affiliation_strings":["Beijing Information Science and Technology University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009436724","display_name":"\u4fca \u738b","orcid":"https://orcid.org/0009-0002-3527-9980"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Beijing Information Science and Technology University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081605311","display_name":"Peng Sun","orcid":"https://orcid.org/0009-0006-0939-225X"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Sun","raw_affiliation_strings":["Beijing Information Science and Technology University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University, China","institution_ids":["https://openalex.org/I78675632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007647867"],"corresponding_institution_ids":["https://openalex.org/I78675632"],"apc_list":null,"apc_paid":null,"fwci":0.2407,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55897583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"65","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10616","display_name":"Smart Agriculture and AI","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.8040386438369751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6500562429428101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6226713061332703},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6172736287117004},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.49006426334381104}],"concepts":[{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.8040386438369751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6500562429428101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6226713061332703},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6172736287117004},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.49006426334381104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3632971.3632992","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3632971.3632992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Joint Conference on Robotics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2109255472","https://openalex.org/W2565639579","https://openalex.org/W2895079640","https://openalex.org/W2963037989","https://openalex.org/W2963857746","https://openalex.org/W3034326629","https://openalex.org/W6600741150","https://openalex.org/W6609741587"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"A":[0],"monocular":[1,32],"visual":[2],"target":[3,61,108,115,143,167],"localization":[4,35,79,111,118],"method":[5,36],"based":[6],"on":[7,126],"You":[8],"Only":[9,43],"Look":[10,44],"Once":[11],"v8":[12,46],"(YOLOv8)":[13,47],"and":[14,48,104,110,117,145,248],"Perspective-3-Point":[15,49],"(P3P)":[16,50],"for":[17,37,77,142,147,258],"the":[18,53,60,64,72,81,85,89,93,102,151,166,169,195,214,224,246,251,260,268],"RoboCup":[19],"humanoid":[20,90,264],"soccer":[21,39,265],"robot":[22,38],"competition":[23,40],"is":[24,56,75,97],"investigated.":[25],"In":[26],"this":[27],"article,":[28],"we":[29],"propose":[30],"a":[31,127,134,181,206,220],"vision-based":[33],"object":[34,62],"using":[41],"\"You":[42],"Once\"":[45],"algorithms.":[51],"Firstly,":[52],"YOLOv8":[54],"algorithm":[55,74,96],"employed":[57],"to":[58,100,162,201,239],"detect":[59],"within":[63,267],"input":[65],"image,":[66],"providing":[67],"precise":[68],"positional":[69],"information.":[70],"Subsequently,":[71],"P3P":[73],"utilized":[76],"accurate":[78],"of":[80,106,140,186,211,216,250,263,271],"detected":[82],"targets.":[83],"Considering":[84],"inherent":[86],"instability":[87],"in":[88,223,227],"robot's":[91,152],"motion,":[92],"Kalman":[94,217],"filtering":[95,218],"further":[98],"integrated":[99],"enhance":[101],"accuracy":[103],"stability":[105],"both":[107],"detection":[109,116,144],"results.":[112],"The":[113,130,242],"proposed":[114,252],"methodology":[119],"was":[120,154,174],"thoroughly":[121],"evaluated":[122],"through":[123],"extensive":[124],"experimentation":[125],"custom":[128],"dataset.":[129],"obtained":[131],"results":[132,230],"demonstrate":[133],"remarkable":[135],"mean":[136],"Average":[137],"Precision":[138],"(mAP50)":[139],"0.989":[141],"0.916":[146],"mAP50-95.":[148],"Notably,":[149],"when":[150],"camera":[153],"positioned":[155],"at":[156,176,189],"distances":[157,191],"ranging":[158],"from":[159,165,236],"100":[160,193],"cm":[161,164,238],"300":[163],"object,":[168],"maximum":[170,182,196,207,225],"average":[171,183,197,208],"positioning":[172,198],"error":[173,185,199,210],"measured":[175],"32.87":[177],"cm,":[178,203],"accompanied":[179,204],"by":[180,205],"relative":[184,209],"10.97%.":[187],"Conversely,":[188],"closer":[190],"(<":[192],"cm),":[194],"reduced":[200],"2.95":[202],"3.69%.":[212],"Furthermore,":[213],"utilization":[215],"yielded":[219],"substantial":[221],"decrease":[222],"difference":[226],"distance":[228],"calculation":[229],"between":[231],"consecutive":[232],"frames,":[233],"reducing":[234],"it":[235],"79.71":[237],"30.02":[240],"cm.":[241],"experimental":[243],"findings":[244],"substantiate":[245],"efficacy":[247],"resilience":[249],"approach,":[253],"thereby":[254],"validating":[255],"its":[256],"suitability":[257],"addressing":[259],"stringent":[261],"demands":[262],"robots":[266],"competitive":[269],"domain":[270],"RoboCup.":[272]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}