{"id":"https://openalex.org/W4391092973","doi":"https://doi.org/10.1109/bigdata59044.2023.10386524","title":"The Calibration of Single Beam Distance Sensors based on Machine Learning Methods","display_name":"The Calibration of Single Beam Distance Sensors based on Machine Learning Methods","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391092973","doi":"https://doi.org/10.1109/bigdata59044.2023.10386524"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386524","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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/A5088470700","display_name":"Piotr Biernacki","orcid":"https://orcid.org/0000-0002-0159-4782"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"funder","lineage":["https://openalex.org/I99542240"]},{"id":"https://openalex.org/I4210122744","display_name":"Institute of Theoretical and Applied Informatics","ror":"https://ror.org/037p52j25","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210122744","https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Piotr Biernacki","raw_affiliation_strings":["Silesian University of Technology,Institute of Theoretical and Applied Informatics Polish Academy of Sciences Institute of Informatics,Gliwice,Poland","Institute of Theoretical and Applied Informatics Polish Academy of Sciences Institute of Informatics, Silesian University of Technology, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Silesian University of Technology,Institute of Theoretical and Applied Informatics Polish Academy of Sciences Institute of Informatics,Gliwice,Poland","institution_ids":["https://openalex.org/I4210122744","https://openalex.org/I99542240","https://openalex.org/I119004910"]},{"raw_affiliation_string":"Institute of Theoretical and Applied Informatics Polish Academy of Sciences Institute of Informatics, Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I4210122744","https://openalex.org/I99542240","https://openalex.org/I119004910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052066397","display_name":"Adam Zi\u0119bi\u0144ski","orcid":"https://orcid.org/0000-0003-4554-6667"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Adam Ziebinski","raw_affiliation_strings":["Silesian University of Technology,Institute of Informatics,Gliwice,Poland","Institute of Informatics, Silesian University of Technology, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Silesian University of Technology,Institute of Informatics,Gliwice,Poland","institution_ids":["https://openalex.org/I119004910"]},{"raw_affiliation_string":"Institute of Informatics, Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007585185","display_name":"Jia-Hao Syu","orcid":"https://orcid.org/0000-0002-3875-9317"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jia-Hao Syu","raw_affiliation_strings":["National Taiwan University,Department of Computer Science and Information Engineering,Taipei,Taiwan","Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Department of Computer Science and Information Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000640263","display_name":"Jerry Chun\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-8768-9709"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jerry Chun-Wei Lin","raw_affiliation_strings":["Silesian University of Technology,Institute of Informatics,Gliwice,Poland","Institute of Informatics, Silesian University of Technology, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Silesian University of Technology,Institute of Informatics,Gliwice,Poland","institution_ids":["https://openalex.org/I119004910"]},{"raw_affiliation_string":"Institute of Informatics, Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088470700"],"corresponding_institution_ids":["https://openalex.org/I119004910","https://openalex.org/I4210122744","https://openalex.org/I99542240"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18157824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5031","last_page":"5037"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9886999726295471,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9886999726295471,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.984000027179718,"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/calibration","display_name":"Calibration","score":0.8025685548782349},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.703898012638092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6654613018035889},{"id":"https://openalex.org/keywords/distance-measurement","display_name":"Distance measurement","score":0.5074693560600281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4915502965450287},{"id":"https://openalex.org/keywords/intelligent-sensor","display_name":"Intelligent sensor","score":0.468140184879303},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36511462926864624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3636784553527832},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33960390090942383},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3214375376701355},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.203847736120224},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1525954306125641},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14651712775230408}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.8025685548782349},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.703898012638092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6654613018035889},{"id":"https://openalex.org/C2986158284","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Distance measurement","level":2,"score":0.5074693560600281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4915502965450287},{"id":"https://openalex.org/C176563091","wikidata":"https://www.wikidata.org/wiki/Q669238","display_name":"Intelligent sensor","level":3,"score":0.468140184879303},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36511462926864624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3636784553527832},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33960390090942383},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3214375376701355},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.203847736120224},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1525954306125641},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14651712775230408},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386524","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324727","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1497432777","https://openalex.org/W2056132907","https://openalex.org/W2109094293","https://openalex.org/W2145352197","https://openalex.org/W2186431644","https://openalex.org/W2270141987","https://openalex.org/W2576845151","https://openalex.org/W2620406343","https://openalex.org/W2750706100","https://openalex.org/W2750990224","https://openalex.org/W2778506893","https://openalex.org/W2783128843","https://openalex.org/W2787894218","https://openalex.org/W2789777926","https://openalex.org/W2803208334","https://openalex.org/W2818473824","https://openalex.org/W2888761931","https://openalex.org/W2891899936","https://openalex.org/W2901265155","https://openalex.org/W2908305534","https://openalex.org/W2944135346","https://openalex.org/W2973823742","https://openalex.org/W2995949129","https://openalex.org/W2999164498","https://openalex.org/W3025127497","https://openalex.org/W3040499321","https://openalex.org/W3060346186","https://openalex.org/W3118521491","https://openalex.org/W3134364829","https://openalex.org/W3134691581","https://openalex.org/W3196539257","https://openalex.org/W3204838930","https://openalex.org/W3209752914","https://openalex.org/W4239949931","https://openalex.org/W4282575989","https://openalex.org/W6686881207"],"related_works":["https://openalex.org/W2102148524","https://openalex.org/W2314720829","https://openalex.org/W4385074335","https://openalex.org/W2626189183","https://openalex.org/W2626268514","https://openalex.org/W324331621","https://openalex.org/W4226285110","https://openalex.org/W2765248831","https://openalex.org/W2621951291","https://openalex.org/W4378676233"],"abstract_inverted_index":{"Smart":[0],"cities":[1,44],"require":[2],"the":[3,13,21,50,75,93,105,112,116,128,131,134,163],"use":[4],"of":[5,9,20,34,42,49,74,77,92,107,127,133,146,158],"many":[6,40],"different":[7],"types":[8],"sensors":[10,17,51,117],"to":[11,96,103],"make":[12],"communication,":[14],"and":[15,29,62,86,151],"distance":[16,78,108,114],"are":[18],"one":[19],"most":[22],"commonly":[23],"used":[24],"elements":[25],"in":[26,39,64,101],"transportation":[27],"systems":[28,38],"related":[30],"infrastructures.":[31],"The":[32,90,125],"introduction":[33],"increasingly":[35],"advanced":[36],"autonomous":[37],"areas":[41],"smart":[43],"requires":[45],"high":[46],"measurement":[47],"precision":[48,54],"used.":[52],"High":[53],"is":[55],"essential":[56],"for":[57,80,162],"proper":[58],"operation,":[59],"long-term":[60],"use,":[61],"safety":[63],"machine-to-machine":[65],"or":[66],"machine-to-human":[67],"interactions.":[68],"This":[69],"paper":[70],"presents":[71],"a":[72,98,152],"comparison":[73],"accuracy":[76,106],"measurements":[79],"two":[81,87],"commercially":[82],"available":[83],"single-beam":[84],"LiDARs":[85],"ultrasonic":[88],"sensors.":[89,109,165],"aim":[91],"research":[94],"was":[95],"develop":[97],"calibration":[99,136],"method":[100],"order":[102],"improve":[104],"Based":[110],"on":[111],"collected":[113],"measurements,":[115],"were":[118],"calibrated":[119],"using":[120],"selected":[121],"machine":[122],"learning":[123],"algorithms.":[124],"results":[126],"experiments":[129],"show":[130],"effectiveness":[132],"proposed":[135],"methods,":[137],"which":[138],"yield":[139],"an":[140],"average":[141],"mean":[142,154],"absolute":[143],"error":[144,156],"(MAE)":[145],"1.76":[147],"E-05":[148],"meters":[149],"(m)":[150],"root":[153],"square":[155],"(RMSE)":[157],"1.33":[159],"E-04":[160],"m":[161],"tested":[164]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}