{"id":"https://openalex.org/W4285010497","doi":"https://doi.org/10.1007/s10845-022-01983-4","title":"Testing the reliability of monocular obstacle detection methods in a simulated 3D factory environment","display_name":"Testing the reliability of monocular obstacle detection methods in a simulated 3D factory environment","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4285010497","doi":"https://doi.org/10.1007/s10845-022-01983-4"},"language":"en","primary_location":{"id":"doi:10.1007/s10845-022-01983-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-022-01983-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-022-01983-4.pdf","source":{"id":"https://openalex.org/S161464388","display_name":"Journal of Intelligent Manufacturing","issn_l":"0956-5515","issn":["0956-5515","1572-8145"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10845-022-01983-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051503434","display_name":"Marius Wenning","orcid":"https://orcid.org/0000-0003-0383-7634"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Marius Wenning","raw_affiliation_strings":["Werkzeugmaschinenlabor, RWTH Aachen University, Aachen, Germany"],"raw_orcid":"https://orcid.org/0000-0003-0383-7634","affiliations":[{"raw_affiliation_string":"Werkzeugmaschinenlabor, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044731728","display_name":"Anton Akira Backhaus","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anton Akira Backhaus","raw_affiliation_strings":["Werkzeugmaschinenlabor, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Werkzeugmaschinenlabor, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014716827","display_name":"Tobias Adlon","orcid":"https://orcid.org/0000-0002-0339-7774"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Adlon","raw_affiliation_strings":["Werkzeugmaschinenlabor, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Werkzeugmaschinenlabor, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068325939","display_name":"Peter Burggr\u00e4f","orcid":"https://orcid.org/0000-0001-9018-9959"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Burggr\u00e4f","raw_affiliation_strings":["Werkzeugmaschinenlabor, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Werkzeugmaschinenlabor, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5051503434"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.4405,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.53655325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"33","issue":"7","first_page":"2157","last_page":"2165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9988999962806702,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.9189598560333252},{"id":"https://openalex.org/keywords/factory","display_name":"Factory (object-oriented programming)","score":0.7935429811477661},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6226529479026794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5476096272468567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5377275347709656},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.5242840647697449},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5152835845947266},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5077963471412659},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.49868130683898926},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.44213566184043884},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.42357051372528076},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4109167158603668},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3649033308029175},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3566240966320038},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.12613660097122192},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.12232586741447449}],"concepts":[{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.9189598560333252},{"id":"https://openalex.org/C40149104","wikidata":"https://www.wikidata.org/wiki/Q5620977","display_name":"Factory (object-oriented programming)","level":2,"score":0.7935429811477661},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6226529479026794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5476096272468567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5377275347709656},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.5242840647697449},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5152835845947266},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5077963471412659},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49868130683898926},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.44213566184043884},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.42357051372528076},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4109167158603668},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3649033308029175},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3566240966320038},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.12613660097122192},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.12232586741447449},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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":4,"locations":[{"id":"doi:10.1007/s10845-022-01983-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-022-01983-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-022-01983-4.pdf","source":{"id":"https://openalex.org/S161464388","display_name":"Journal of Intelligent Manufacturing","issn_l":"0956-5515","issn":["0956-5515","1572-8145"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:joinma:v:33:y:2022:i:7:d:10.1007_s10845-022-01983-4","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10845-022-01983-4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:econstor.eu:10419/310017","is_oa":true,"landing_page_url":"https://hdl.handle.net/10419/310017","pdf_url":null,"source":{"id":"https://openalex.org/S4306401696","display_name":"Econstor (Econstor)","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:article"},{"id":"pmh:oai:publications.rwth-aachen.de:850455","is_oa":true,"landing_page_url":"https://publications.rwth-aachen.de/record/850455","pdf_url":null,"source":{"id":"https://openalex.org/S4306401362","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of intelligent manufacturing 33(7), 2157-2165 (2022). doi:10.1007/s10845-022-01983-4","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10845-022-01983-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-022-01983-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-022-01983-4.pdf","source":{"id":"https://openalex.org/S161464388","display_name":"Journal of Intelligent Manufacturing","issn_l":"0956-5515","issn":["0956-5515","1572-8145"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3952242245","display_name":null,"funder_award_id":"01MV190 02A","funder_id":"https://openalex.org/F4320323803","funder_display_name":"Bundesministerium f\u00fcr Wirtschaft und Energie"}],"funders":[{"id":"https://openalex.org/F4320321602","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt","ror":"https://ror.org/04bwf3e34"},{"id":"https://openalex.org/F4320323803","display_name":"Bundesministerium f\u00fcr Wirtschaft und Energie","ror":"https://ror.org/02vgg2808"},{"id":"https://openalex.org/F4320324232","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285010497.pdf","grobid_xml":"https://content.openalex.org/works/W4285010497.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1989125340","https://openalex.org/W2060791715","https://openalex.org/W2150066425","https://openalex.org/W2340897893","https://openalex.org/W2525936901","https://openalex.org/W2758393195","https://openalex.org/W2963446712","https://openalex.org/W2963730616","https://openalex.org/W2963826402","https://openalex.org/W2969446427","https://openalex.org/W2981353488","https://openalex.org/W2982634859","https://openalex.org/W2988910664","https://openalex.org/W2989845504","https://openalex.org/W3008115128","https://openalex.org/W3008512468","https://openalex.org/W3101244574","https://openalex.org/W3117786822"],"related_works":["https://openalex.org/W2794103424","https://openalex.org/W4245435724","https://openalex.org/W2375650349","https://openalex.org/W3197179449","https://openalex.org/W4377092200","https://openalex.org/W2522545070","https://openalex.org/W1978079115","https://openalex.org/W2047544089","https://openalex.org/W2818188140","https://openalex.org/W4367853371"],"abstract_inverted_index":{"Abstract":[0],"Automated":[1],"driving":[2],"in":[3,19,38,93],"public":[4],"traffic":[5],"still":[6],"faces":[7],"many":[8],"technical":[9],"and":[10,90],"legal":[11],"challenges.":[12],"However,":[13],"automating":[14],"vehicles":[15],"at":[16],"low":[17],"speeds":[18],"controlled":[20],"industrial":[21],"environments":[22],"is":[23,31],"already":[24],"achievable":[25],"today.":[26],"A":[27],"reliable":[28],"obstacle":[29,69,83],"detection":[30,84],"mandatory":[32],"to":[33,113],"prevent":[34],"accidents.":[35],"Recent":[36],"advances":[37],"convolutional":[39],"neural":[40],"network-based":[41],"algorithms":[42,71],"hypothetically":[43],"allow":[44],"the":[45,76],"replacement":[46],"of":[47,96],"distance":[48],"measuring":[49],"laser":[50],"scanners":[51],"with":[52],"common":[53,105],"monocameras.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58],"present":[59],"a":[60,94],"photorealistic":[61],"3D":[62],"simulated":[63],"factory":[64,106],"environment":[65],"for":[66],"testing":[67],"vision-based":[68],"detecting":[70],"preceding":[72],"field":[73],"tests":[74],"on":[75],"safety\u2013critical":[77],"system.":[78],"We":[79],"further":[80],"test":[81,98],"two":[82],"methods":[85],"employing":[86],"state-of-the-art":[87],"semantic":[88],"segmentation":[89],"depth":[91],"estimation":[92],"range":[95],"challenging":[97],"scenarios.":[99],"Both":[100],"models":[101],"performed":[102],"well":[103],"under":[104],"settings.":[107],"Some":[108],"edge":[109],"cases,":[110],"however,":[111],"lead":[112],"vehicle":[114],"crashes.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-02T14:50:37.381335","created_date":"2025-10-10T00:00:00"}