{"id":"https://openalex.org/W2974722718","doi":"https://doi.org/10.1109/coase.2019.8842973","title":"Real-Time Object Coordinate Detection and Manipulator Control Using Rigidly Trained Convolutional Neural Networks","display_name":"Real-Time Object Coordinate Detection and Manipulator Control Using Rigidly Trained Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2974722718","doi":"https://doi.org/10.1109/coase.2019.8842973","mag":"2974722718"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2019.8842973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2019.8842973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)","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/A5104172512","display_name":"Yu-Ming Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Ming Chang","raw_affiliation_strings":["Graduate Institute of Manufacturing Technology, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Manufacturing Technology, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086730682","display_name":"Chih-Hung G. Li","orcid":"https://orcid.org/0000-0001-9302-1422"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Hung G. Li","raw_affiliation_strings":["Graduate Institute of Manufacturing Technology, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Manufacturing Technology, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110691736","display_name":"Yi-Feng Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Feng Hong","raw_affiliation_strings":["Graduate Institute of Manufacturing Technology, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Manufacturing Technology, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118292597"],"apc_list":null,"apc_paid":null,"fwci":0.366,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66001051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1347","last_page":"1352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9983999729156494,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7905743718147278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6892874240875244},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.665160596370697},{"id":"https://openalex.org/keywords/coordinate-system","display_name":"Coordinate system","score":0.6186130046844482},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.549385666847229},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5478160977363586},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5054428577423096},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4629327654838562},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4628227651119232},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.440774142742157},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42165929079055786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.16924652457237244},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12081357836723328},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07509499788284302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7905743718147278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6892874240875244},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.665160596370697},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.6186130046844482},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.549385666847229},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5478160977363586},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5054428577423096},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4629327654838562},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4628227651119232},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.440774142742157},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42165929079055786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.16924652457237244},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12081357836723328},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07509499788284302},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2019.8842973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2019.8842973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)","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":25,"referenced_works":["https://openalex.org/W301022506","https://openalex.org/W1536680647","https://openalex.org/W1560626532","https://openalex.org/W1994488211","https://openalex.org/W2003837989","https://openalex.org/W2004835121","https://openalex.org/W2062118960","https://openalex.org/W2078429540","https://openalex.org/W2102605133","https://openalex.org/W2125253085","https://openalex.org/W2128237624","https://openalex.org/W2131072478","https://openalex.org/W2137796516","https://openalex.org/W2155007355","https://openalex.org/W2268708260","https://openalex.org/W2804466134","https://openalex.org/W2919115771","https://openalex.org/W2963037989","https://openalex.org/W2963188159","https://openalex.org/W2964306141","https://openalex.org/W6633552011","https://openalex.org/W6678685431","https://openalex.org/W6679057852","https://openalex.org/W6682849425","https://openalex.org/W6693839119"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2969228573","https://openalex.org/W2963690996","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Objects":[0],"embedded":[1],"in":[2,90,94,100],"the":[3,36,60,73,77,81,122],"environment,":[4],"such":[5,24],"as":[6],"switches,":[7],"control":[8,31],"buttons,":[9],"sockets,":[10],"et":[11],"al.,":[12],"are":[13],"devices":[14,25],"that":[15,33],"need":[16],"frequent":[17],"operations.":[18],"To":[19],"devise":[20],"manipulators":[21],"to":[22,40,148],"operate":[23],"automatically,":[26],"we":[27],"propose":[28],"a":[29,55,143,150,175,182],"visual-position":[30],"scheme":[32],"directly":[34],"converts":[35],"visual":[37],"coordinate":[38,49,101,109,124],"detections":[39],"motor":[41],"commands.":[42],"We":[43],"train":[44],"ConvNets":[45],"with":[46],"rigid":[47],"3D":[48],"information,":[50],"which":[51],"is":[52],"obtained":[53],"from":[54,118],"single":[56],"basis":[57],"image":[58,86],"of":[59,76,116,131,161,177],"target":[61],"object.":[62],"Our":[63],"proposed":[64],"training":[65,78],"data":[66],"preparation":[67],"frameworks":[68],"automatically":[69],"generate":[70],"and":[71,97,155,173],"organize":[72],"required":[74],"structure":[75],"images":[79],"for":[80,168],"network.":[82],"The":[83],"ConvNet's":[84],"superior":[85],"recognition":[87],"capability":[88],"results":[89],"high":[91,98],"success":[92,114,129,137,159],"rate":[93,115,130,160],"object":[95,170],"detection":[96,110,125],"precision":[99,176],"estimation.":[102],"In":[103,139],"our":[104,140],"static":[105],"experiments,":[106,142],"in-range":[107],"plane":[108],"achieves":[111,126],"an":[112,127,135,157,169],"average":[113,128],"91%":[117],"various":[119],"view-point":[120],"directions;":[121],"depth":[123],"86%":[132],"based":[133],"on":[134],"extended":[136],"range.":[138],"dynamic":[141],"low-precision":[144],"manipulator":[145,165],"was":[146,166],"used":[147,167],"press":[149],"down":[151],"elevator":[152],"call":[153],"button":[154],"achieved":[156,174],"overall":[158],"98%.":[162],"A":[163],"high-precision":[164],"localization":[171],"task":[172],"\u00b1":[178],"0.3":[179],"mm":[180],"using":[181],"low-resolution":[183],"camera.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
