{"id":"https://openalex.org/W3041690189","doi":"https://doi.org/10.1109/metroind4.0iot48571.2020.9138313","title":"Evaluation of the bounding box uncertainty of deep-learning object detection in HALCON software","display_name":"Evaluation of the bounding box uncertainty of deep-learning object detection in HALCON software","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3041690189","doi":"https://doi.org/10.1109/metroind4.0iot48571.2020.9138313","mag":"3041690189"},"language":"en","primary_location":{"id":"doi:10.1109/metroind4.0iot48571.2020.9138313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot48571.2020.9138313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT","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/A5079173601","display_name":"Daniele Marchisotti","orcid":"https://orcid.org/0000-0002-7624-5210"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Daniele Marchisotti","raw_affiliation_strings":["Department of mechanical engineering, Politecnico di Milano, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Department of mechanical engineering, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081517044","display_name":"Vittorio Sala","orcid":"https://orcid.org/0000-0001-5938-1408"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vittorio Sala","raw_affiliation_strings":["Research and Developement dept., iMAGE S SPA, Mariano Comense, Como, Italy"],"affiliations":[{"raw_affiliation_string":"Research and Developement dept., iMAGE S SPA, Mariano Comense, Como, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079173601"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":0.8827,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73561982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"642","last_page":"647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9990000128746033,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/minimum-bounding-box","display_name":"Minimum bounding box","score":0.8034207820892334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7336264848709106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6937388777732849},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6620713472366333},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.641588568687439},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.617517352104187},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5435959100723267},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5303789973258972},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5246173143386841},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.49565017223358154},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.4468449652194977},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.43554019927978516},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4337467551231384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32215601205825806},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09480559825897217}],"concepts":[{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.8034207820892334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7336264848709106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6937388777732849},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6620713472366333},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.641588568687439},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.617517352104187},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5435959100723267},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5303789973258972},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5246173143386841},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.49565017223358154},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.4468449652194977},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.43554019927978516},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4337467551231384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32215601205825806},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09480559825897217},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroind4.0iot48571.2020.9138313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot48571.2020.9138313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT","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":6,"referenced_works":["https://openalex.org/W2163272476","https://openalex.org/W2622826443","https://openalex.org/W2894110337","https://openalex.org/W2963177347","https://openalex.org/W2972532824","https://openalex.org/W2974237300"],"related_works":["https://openalex.org/W3192357901","https://openalex.org/W3036286480","https://openalex.org/W2387360586","https://openalex.org/W4287027631","https://openalex.org/W4237171675","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W2962677013"],"abstract_inverted_index":{"Deep":[0],"neural":[1,59,97],"networks":[2,60,98],"have":[3,32],"become":[4],"more":[5,7],"and":[6,15,25,40,75,91],"relevant":[8],"for":[9,12,44,72],"vision":[10,30],"systems,":[11],"object":[13,57,73],"detection":[14,58,74],"classification":[16],"in":[17,61,117],"industrial":[18],"fields,":[19],"such":[20,28],"as":[21,43,103,105],"robot":[22],"navigation,":[23],"monitoring":[24],"tracking.":[26],"For":[27],"applications,":[29],"systems":[31],"to":[33,36],"be":[34],"robust":[35],"environment":[37],"conditions,":[38],"occlusions":[39],"very":[41],"accurate,":[42],"bin":[45],"picking.":[46],"In":[47,80],"this":[48,81],"paper,":[49],"we":[50],"evaluate":[51],"the":[52,66,76,85,92,106,119,122,131],"performances":[53],"of":[54,68,78,87,94,96,108,121],"deep":[55],"learning":[56],"HALCON":[62],"software,":[63],"by":[64],"investigating":[65],"uncertainty":[67,90,120],"bounding":[69,88,123],"box":[70,89,124],"position":[71,125],"impact":[77],"disturbances.":[79],"study,":[82],"results":[83],"evidenced":[84],"increase":[86],"reduction":[93],"confidence":[95,111],"when":[99,110],"disturbances":[100],"are":[101,115],"introduced,":[102],"well":[104],"increment":[107],"uncertainty,":[109],"lowers.":[112],"When":[113],"errors":[114],"introduced":[116],"labeling,":[118],"becomes":[126],"higher,":[127],"but":[128],"lower":[129],"than":[130],"error":[132],"introduced.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}