{"id":"https://openalex.org/W4386919613","doi":"https://doi.org/10.1109/sas58821.2023.10254080","title":"A Robust and Real-Time Hyper-Spectral Sensor-Fusion Model for Concrete Crack Segmentation","display_name":"A Robust and Real-Time Hyper-Spectral Sensor-Fusion Model for Concrete Crack Segmentation","publication_year":2023,"publication_date":"2023-07-18","ids":{"openalex":"https://openalex.org/W4386919613","doi":"https://doi.org/10.1109/sas58821.2023.10254080"},"language":"en","primary_location":{"id":"doi:10.1109/sas58821.2023.10254080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sas58821.2023.10254080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Sensors Applications Symposium (SAS)","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/A5024672697","display_name":"Matthias Steiner","orcid":"https://orcid.org/0000-0002-3973-375X"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Matthias Steiner","raw_affiliation_strings":["ETH Zurich,Department of Information Technology and Electrical Engineering,Zürich,Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich,Department of Information Technology and Electrical Engineering,Zürich,Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102947914","display_name":"Nicolas S. Baumann","orcid":"https://orcid.org/0000-0002-6619-6291"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Nicolas Baumann","raw_affiliation_strings":["ETH Zurich,Department of Information Technology and Electrical Engineering,Zürich,Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich,Department of Information Technology and Electrical Engineering,Zürich,Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061325560","display_name":"Luzian Lebovitz","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Luzian Lebovitz","raw_affiliation_strings":["ETH Zurich,Department of Information Technology and Electrical Engineering,Zürich,Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich,Department of Information Technology and Electrical Engineering,Zürich,Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066423975","display_name":"Michele Magno","orcid":"https://orcid.org/0000-0003-0368-8923"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Michele Magno","raw_affiliation_strings":["ETH Zurich,Department of Information Technology and Electrical Engineering,Zürich,Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich,Department of Information Technology and Electrical Engineering,Zürich,Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4253,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59551393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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":0.9904999732971191,"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/fusion","display_name":"Fusion","score":0.5958636999130249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5721611976623535},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5016791820526123},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4969518482685089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4025852382183075},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36916384100914}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5958636999130249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5721611976623535},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5016791820526123},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4969518482685089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4025852382183075},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36916384100914},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sas58821.2023.10254080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sas58821.2023.10254080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Sensors Applications Symposium (SAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W601603264","https://openalex.org/W1936750108","https://openalex.org/W2027456229","https://openalex.org/W2035726712","https://openalex.org/W2109553965","https://openalex.org/W2117539524","https://openalex.org/W2128617709","https://openalex.org/W2139047213","https://openalex.org/W2187089797","https://openalex.org/W2588180165","https://openalex.org/W2687732928","https://openalex.org/W2786672974","https://openalex.org/W2884143694","https://openalex.org/W2903179019","https://openalex.org/W2968235956","https://openalex.org/W2989673213","https://openalex.org/W2999309192","https://openalex.org/W3094502228","https://openalex.org/W3114558820","https://openalex.org/W3138912185","https://openalex.org/W3211490618","https://openalex.org/W4210629389","https://openalex.org/W4220747418","https://openalex.org/W4293078372","https://openalex.org/W4300126339","https://openalex.org/W6739925234","https://openalex.org/W6842319587"],"related_works":["https://openalex.org/W2517104666","https://openalex.org/W2005437358","https://openalex.org/W1669643531","https://openalex.org/W2008656436","https://openalex.org/W2134924024","https://openalex.org/W2023558673","https://openalex.org/W2110230079","https://openalex.org/W1982826852","https://openalex.org/W2613186388","https://openalex.org/W1967061043"],"abstract_inverted_index":{"Structural":[0,52],"defects":[1],"in":[2,47,89],"civil":[3],"infrastructure,":[4],"such":[5,22,37,162,201],"as":[6,38,163,202],"highways,":[7],"roads,":[8],"bridges,":[9],"and":[10,17,26,41,59,72,83,97,110,135,139],"dams,":[11],"can":[12],"severely":[13],"impact":[14],"their":[15,78],"reliability":[16],"safety.":[18],"Manual":[19],"inspection":[20],"of":[21,51,86,142,154,175,181],"infrastructure":[23],"is":[24,120,150],"labor-intensive":[25],"costly,":[27],"creating":[28],"the":[29,84,137,143,155,164,185],"demand":[30],"for":[31,67,115,122,196],"automated":[32],"damage-tracking":[33],"systems.":[34],"Data-driven":[35],"techniques,":[36],"machine":[39],"learning,":[40],"statistical":[42],"methods":[43],"have":[44],"been":[45],"utilized":[46],"a":[48,95,193],"remarkable":[49],"number":[50],"Health":[53],"Monitoring":[54],"(SHM)":[55],"applications.":[56],"However,":[57],"real-time":[58],"high-accuracy":[60],"concrete":[61],"crack":[62,116,145],"detection":[63],"poses":[64],"severe":[65],"challenges":[66],"deployment":[68,123],"on":[69,124,132,152],"embedded":[70,126,159],"systems":[71],"mobile":[73],"robotic":[74,133,158],"platforms,":[75,134],"due":[76],"to":[77],"computational":[79],"constraints,":[80],"low-latency":[81,98],"requirements,":[82],"robustness":[85],"model":[87,102,119,149],"predictions":[88],"field":[90],"deployments.":[91],"This":[92],"work":[93],"proposes":[94],"robust":[96],"transformer-based":[99],"deep-crack":[100],"segmentation":[101],"that":[103],"leverages":[104],"both":[105],"Red":[106],"Green":[107],"Blue":[108],"(RGB)":[109],"Hyper":[111],"Spectral":[112],"(HYP)":[113],"data":[114],"detection.":[117],"The":[118,147,189],"optimized":[121],"resource-constrained":[125],"systems,":[127],"enabling":[128],"structural":[129],"health":[130],"monitoring":[131],"studies":[136],"aleatoric":[138],"epistemic":[140],"uncertainties":[141],"estimated":[144],"maps.":[146],"final":[148],"deployed":[151],"one":[153],"most":[156],"popular":[157],"computation":[160],"platforms":[161],"NVIDIA":[165],"Jetson":[166],"Xavier":[167],"NX,":[168],"achieving":[169],"state-of-the-art":[170],"performance":[171],"with":[172],"an":[173,178],"accuracy":[174],"99.54%":[176],"at":[177],"inference":[179],"time":[180],"only":[182],"7.41ms":[183],"using":[184],"RGB":[186],"camera":[187],"only.":[188],"proposed":[190],"approach":[191],"provides":[192],"promising":[194],"solution":[195],"automating":[197],"laborious":[198],"SHM":[199],"applications":[200],"inspecting":[203],"critical":[204],"infrastructure.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}