{"id":"https://openalex.org/W4399043511","doi":"https://doi.org/10.22260/isarc2024/0007","title":"Inline image-based reinforcement detection for concrete additive manufacturing processes using a convolutional neural network","display_name":"Inline image-based reinforcement detection for concrete additive manufacturing processes using a convolutional neural network","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4399043511","doi":"https://doi.org/10.22260/isarc2024/0007"},"language":"en","primary_location":{"id":"doi:10.22260/isarc2024/0007","is_oa":true,"landing_page_url":"http://dx.doi.org/10.22260/isarc2024/0007","pdf_url":"https://www.iaarc.org/./publications/fulltext/006_ISARC_2024_Paper_241.pdf","source":{"id":"https://openalex.org/S4220651438","display_name":"Proceedings of the ... ISARC","issn_l":"2413-5844","issn":["2413-5844"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.iaarc.org/./publications/fulltext/006_ISARC_2024_Paper_241.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066941947","display_name":"Lukas Lachmayer","orcid":"https://orcid.org/0000-0001-8070-8989"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lukas Johann Lachmayer","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091750658","display_name":"Lars Dittrich","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lars Dittrich","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002667498","display_name":"Robin D\u00f6rrie","orcid":"https://orcid.org/0000-0001-8473-7218"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Robin D\u00f6rrie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076000556","display_name":"Harald Kloft","orcid":"https://orcid.org/0000-0003-4891-869X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harald Kloft","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032319988","display_name":"Annika Raatz","orcid":"https://orcid.org/0000-0002-1697-1907"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Annika Raatz","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5073649760","display_name":"Tobias Recker","orcid":"https://orcid.org/0000-0003-1632-0538"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tobias Recker","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5066941947"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2015,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47639374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11451","display_name":"Advanced Machining and Optimization Techniques","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11451","display_name":"Advanced Machining and Optimization Techniques","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12190","display_name":"Innovations in Concrete and Construction Materials","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.9394000172615051,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8414855003356934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6566987037658691},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6155934929847717},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4683111608028412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4657624065876007},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.4346569776535034},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2023223638534546},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.1431344449520111}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8414855003356934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6566987037658691},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6155934929847717},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4683111608028412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4657624065876007},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.4346569776535034},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2023223638534546},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.1431344449520111}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.22260/isarc2024/0007","is_oa":true,"landing_page_url":"http://dx.doi.org/10.22260/isarc2024/0007","pdf_url":"https://www.iaarc.org/./publications/fulltext/006_ISARC_2024_Paper_241.pdf","source":{"id":"https://openalex.org/S4220651438","display_name":"Proceedings of the ... ISARC","issn_l":"2413-5844","issn":["2413-5844"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.22260/isarc2024/0007","is_oa":true,"landing_page_url":"http://dx.doi.org/10.22260/isarc2024/0007","pdf_url":"https://www.iaarc.org/./publications/fulltext/006_ISARC_2024_Paper_241.pdf","source":{"id":"https://openalex.org/S4220651438","display_name":"Proceedings of the ... ISARC","issn_l":"2413-5844","issn":["2413-5844"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1386007731","display_name":null,"funder_award_id":"414265976","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G5106512922","display_name":null,"funder_award_id":"Deutsche Forschungsgemeinschaft (DFG","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399043511.pdf","grobid_xml":"https://content.openalex.org/works/W4399043511.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2920061524","https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588","https://openalex.org/W2086122291","https://openalex.org/W1987513656"],"abstract_inverted_index":{"Within":[0],"the":[1,10,20,25,27,48,59,64,68,95,108,124,138,142,146,151,162],"scope":[2],"of":[3,6,12,24,47,63,70,83,97],"additive":[4],"manufacturing":[5],"structural":[7],"concrete":[8,33,50],"components,":[9],"integration":[11,29],"reinforcement":[13,74,84,98,135,163],"provides":[14],"an":[15,91],"inevitable":[16],"opportunity":[17],"to":[18,37,72,80,123,132],"enhance":[19],"load":[21],"bearing":[22],"capacity":[23],"components.Besides":[26],"rebar":[28],"itself,":[30],"ensuring":[31],"asplanned":[32],"cover":[34,51],"is":[35,53,130,158,164],"key":[36],"achieve":[38],"a":[39,81,120,127,154],"stable":[40],"and":[41,113,137],"long-term":[42],"legally":[43],"permissible":[44],"integration.The":[45],"thickness":[46],"as-built":[49],"however":[52],"unpredictably":[54],"altered":[55],"during":[56,85],"printing":[57,77,109],"by":[58,119],"varying":[60],"material":[61,140],"behaviour":[62],"printed":[65],"concrete.In":[66],"addition,":[67],"lack":[69],"opportunities":[71],"anchor":[73],"elements":[75,99],"before":[76],"can":[78],"lead":[79],"displacement":[82],"printing.In":[86],"this":[87],"publication,":[88],"we":[89],"present":[90],"approach":[92],"for":[93],"determining":[94],"position":[96],"within":[100,141,160],"additively":[101],"manufactured":[102],"components":[103],"without":[104],"post-process":[105],"measurement":[106],"steps.During":[107],"process,":[110],"RGB":[111],"images":[112],"depth":[114,152],"camera":[115,121],"data":[116,149],"are":[117],"recorded":[118],"mounted":[122],"print":[125],"head.Subsequently,":[126],"neural":[128],"network":[129],"employed":[131],"distinguish":[133],"between":[134],"structures":[136],"deposited":[139],"coloured":[143],"image.By":[144],"overlaying":[145],"colour":[147],"image":[148],"with":[150],"information":[153],"3D":[155],"point":[156],"cloud":[157],"generated,":[159],"which":[161],"marked.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
