{"id":"https://openalex.org/W4293094637","doi":"https://doi.org/10.1109/aim52237.2022.9863349","title":"A New Measurement Method of Real-time Pose Estimation for an Automatic Hydraulic Excavator","display_name":"A New Measurement Method of Real-time Pose Estimation for an Automatic Hydraulic Excavator","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4293094637","doi":"https://doi.org/10.1109/aim52237.2022.9863349"},"language":"en","primary_location":{"id":"doi:10.1109/aim52237.2022.9863349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim52237.2022.9863349","pdf_url":null,"source":{"id":"https://openalex.org/S4363608109","display_name":"2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)","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/A5038847775","display_name":"Guangxu Liu","orcid":"https://orcid.org/0000-0002-1039-7801"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangxu Liu","raw_affiliation_strings":["Zhejiang University,State Key Laboratory of Fluid Power and Mechatronic Systems,Hangzhou,China,310027"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,State Key Laboratory of Fluid Power and Mechatronic Systems,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419920","display_name":"Qingfeng Wang","orcid":"https://orcid.org/0000-0003-1100-8860"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingfeng Wang","raw_affiliation_strings":["Zhejiang University,State Key Laboratory of Fluid Power and Mechatronic Systems,Hangzhou,China,310027"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,State Key Laboratory of Fluid Power and Mechatronic Systems,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100453544","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-5121-0599"},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["Zhejiang University,State Key Laboratory of Fluid Power and Mechatronic Systems,Hangzhou,China,310027","Ocean College, Zhejiang University, Zhoushan, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,State Key Laboratory of Fluid Power and Mechatronic Systems,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Ocean College, Zhejiang University, Zhoushan, China","institution_ids":["https://openalex.org/I31847773","https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038847775"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.0607,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73844353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"308","last_page":"313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/excavator","display_name":"Excavator","score":0.9552015066146851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7145746946334839},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6898481845855713},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6597965359687805},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.6379114985466003},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.616745114326477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6042611598968506},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5514406561851501},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5303654670715332},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.5023922920227051},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.4500867426395416},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.449090838432312},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.4133104085922241},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3150426745414734}],"concepts":[{"id":"https://openalex.org/C141392084","wikidata":"https://www.wikidata.org/wiki/Q182661","display_name":"Excavator","level":2,"score":0.9552015066146851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7145746946334839},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6898481845855713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6597965359687805},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.6379114985466003},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.616745114326477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6042611598968506},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5514406561851501},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5303654670715332},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5023922920227051},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.4500867426395416},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.449090838432312},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.4133104085922241},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3150426745414734},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aim52237.2022.9863349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim52237.2022.9863349","pdf_url":null,"source":{"id":"https://openalex.org/S4363608109","display_name":"2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1472584441","https://openalex.org/W2044772156","https://openalex.org/W2046524341","https://openalex.org/W2121349631","https://openalex.org/W2279210209","https://openalex.org/W2587537554","https://openalex.org/W2619566615","https://openalex.org/W2736465456","https://openalex.org/W2801349882","https://openalex.org/W2885381467","https://openalex.org/W2885510093","https://openalex.org/W2891223819","https://openalex.org/W2903099067","https://openalex.org/W3087797277","https://openalex.org/W3215754227","https://openalex.org/W4253095384","https://openalex.org/W6628741902"],"related_works":["https://openalex.org/W4299360450","https://openalex.org/W2567319754","https://openalex.org/W2064877078","https://openalex.org/W2045146925","https://openalex.org/W4225773456","https://openalex.org/W2562706118","https://openalex.org/W2146875012","https://openalex.org/W3159876406","https://openalex.org/W4293094637","https://openalex.org/W2150695230"],"abstract_inverted_index":{"Construction":[0],"machinery":[1],"automation":[2],"has":[3,151],"drawn":[4],"more":[5,7],"and":[6,51,93,124,143,155],"research":[8],"interests":[9],"in":[10,90,169],"recent":[11],"years.":[12],"To":[13],"realize":[14],"the":[15,26,58,69,74,84,98,104,108,112,117,121,125,132,144,148,163,167,170],"automatic":[16],"operation":[17],"of":[18,30,41,60,103,136,166],"a":[19,22,37,78],"hydraulic":[20],"excavator,":[21],"key":[23],"technology":[24],"is":[25,45,66],"effective":[27],"pose":[28,43,75],"estimation":[29,44],"its":[31],"multiple":[32],"actuators.":[33],"In":[34],"this":[35],"work,":[36],"new":[38],"measurement":[39],"method":[40,150],"real-time":[42,153],"developed":[46],"by":[47,130],"using":[48],"machine":[49],"vision":[50],"artificial":[52],"neural":[53],"network":[54],"(ANN)":[55],"to":[56,72,96],"overcome":[57],"limitations":[59],"existing":[61],"methods.":[62],"A":[63,134],"high-resolution":[64],"camera":[65],"installed":[67],"on":[68,107],"excavator":[70,85],"cab":[71],"capture":[73],"image":[76],"with":[77],"constant":[79],"view":[80],"angle":[81],"even":[82],"when":[83],"swings.":[86],"Images":[87],"are":[88,128,138],"processed":[89],"hue,":[91],"saturation":[92],"value":[94],"space":[95],"extract":[97],"centroid":[99],"pixel":[100,122],"coordinate":[101],"(CPC)":[102],"markers":[105],"fixed":[106],"actuator":[109],"joints.":[110],"Taking":[111],"centroids":[113],"as":[114],"featured":[115],"points,":[116],"mapping":[118],"relations":[119],"between":[120],"coordinates":[123],"joint":[126],"angles":[127],"derived":[129],"training":[131],"ANN.":[133],"number":[135],"experiments":[137],"implemented":[139],"under":[140],"various":[141],"conditions":[142],"results":[145],"show":[146],"that":[147],"proposed":[149],"good":[152],"performance":[154],"robustness.":[156],"This":[157],"work":[158],"can":[159],"provide":[160],"basis":[161],"for":[162],"feedback":[164],"control":[165],"actuators":[168],"excavator.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
