{"id":"https://openalex.org/W4400114821","doi":"https://doi.org/10.1109/i2mtc60896.2024.10560867","title":"Multi-Path Interference Denoising of LiDAR Data Using a Deep Learning Based on U-Net Model","display_name":"Multi-Path Interference Denoising of LiDAR Data Using a Deep Learning Based on U-Net Model","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4400114821","doi":"https://doi.org/10.1109/i2mtc60896.2024.10560867"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc60896.2024.10560867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc60896.2024.10560867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5046040123","display_name":"Yali Nie","orcid":"https://orcid.org/0000-0003-1840-791X"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Yali Nie","raw_affiliation_strings":["Mid Sweden University,Computer and Electrical Engineering,Sundsvall,Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Computer and Electrical Engineering,Sundsvall,Sweden","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036351446","display_name":"Mattias O\u2019Nils","orcid":"https://orcid.org/0000-0001-8607-4083"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mattias O'Nils","raw_affiliation_strings":["Mid Sweden University,Computer and Electrical Engineering,Sundsvall,Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Computer and Electrical Engineering,Sundsvall,Sweden","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099659301","display_name":"Ola Gatner","orcid":"https://orcid.org/0000-0002-4598-4088"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ola Gatner","raw_affiliation_strings":["Mid Sweden University,Computer and Electrical Engineering,Sundsvall,Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Computer and Electrical Engineering,Sundsvall,Sweden","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031927335","display_name":"Muhammad Imran","orcid":"https://orcid.org/0000-0002-6946-2591"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muhammad Imran","raw_affiliation_strings":["A.I. Deep Learning Specialist, IKEA of Sweden,&#x00C4;lmhult,Sweden"],"affiliations":[{"raw_affiliation_string":"A.I. Deep Learning Specialist, IKEA of Sweden,&#x00C4;lmhult,Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009880754","display_name":"Irida Shallari","orcid":"https://orcid.org/0000-0002-3774-4850"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Irida Shallari","raw_affiliation_strings":["Mid Sweden University,Computer and Electrical Engineering,Sundsvall,Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Computer and Electrical Engineering,Sundsvall,Sweden","institution_ids":["https://openalex.org/I56475706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046040123"],"corresponding_institution_ids":["https://openalex.org/I56475706"],"apc_list":null,"apc_paid":null,"fwci":1.0961,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80180325,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.991599977016449,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9908000230789185,"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/lidar","display_name":"Lidar","score":0.735264778137207},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.7325901389122009},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.6858549118041992},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6613886952400208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5963603854179382},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5896949172019958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49151453375816345},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3253225088119507},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23900935053825378},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1670636236667633},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13679757714271545},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07238435745239258}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.735264778137207},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.7325901389122009},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.6858549118041992},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6613886952400208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5963603854179382},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5896949172019958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49151453375816345},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3253225088119507},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23900935053825378},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1670636236667633},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13679757714271545},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07238435745239258},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc60896.2024.10560867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc60896.2024.10560867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1855919051","https://openalex.org/W1901129140","https://openalex.org/W2039240409","https://openalex.org/W2063549868","https://openalex.org/W2100495367","https://openalex.org/W2102148524","https://openalex.org/W2104620097","https://openalex.org/W2114770744","https://openalex.org/W2131389268","https://openalex.org/W2133665775","https://openalex.org/W2152621471","https://openalex.org/W2285445997","https://openalex.org/W2490477172","https://openalex.org/W2768145272","https://openalex.org/W2768431869","https://openalex.org/W2794739174","https://openalex.org/W2799224898","https://openalex.org/W2884480653","https://openalex.org/W2888453440","https://openalex.org/W2889390559","https://openalex.org/W2955860317","https://openalex.org/W3034996364","https://openalex.org/W3081605498","https://openalex.org/W3087703021","https://openalex.org/W3106403396","https://openalex.org/W3110653837","https://openalex.org/W3135228757","https://openalex.org/W3138516171","https://openalex.org/W3183714396","https://openalex.org/W3217109532","https://openalex.org/W4220892502","https://openalex.org/W4294690793","https://openalex.org/W4312871673","https://openalex.org/W4321231570","https://openalex.org/W4387558570","https://openalex.org/W4403947105","https://openalex.org/W6605774629","https://openalex.org/W6722979031"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W4281783339","https://openalex.org/W1964041166","https://openalex.org/W4390887692","https://openalex.org/W4221065211"],"abstract_inverted_index":{"Eliminating":[0],"Multi-Path":[1],"Interference":[2],"(MPI)":[3],"stands":[4],"as":[5,116],"a":[6,34,88,98],"significant":[7,26],"unresolved":[8],"challenge":[9],"in":[10,97,134,137],"the":[11,47,59,76,83,92,129],"domain":[12],"of":[13,36,49,61,131],"depth":[14,67],"estimation":[15],"using":[16],"Time-of-Flight":[17],"(ToF)":[18],"cameras.":[19],"ToF":[20,44,106],"data":[21,45,64,81,93,107],"is":[22],"typically":[23],"influenced":[24],"by":[25],"noise":[27,136],"and":[28,121],"artifacts":[29],"stemming":[30],"from":[31],"MPI.":[32],"Although":[33],"variety":[35],"conventional":[37],"methods":[38],"have":[39],"been":[40,54],"suggested":[41],"to":[42,58,103],"enhance":[43],"quality,":[46],"application":[48],"machine":[50],"learning":[51,84],"techniques":[52],"has":[53],"infrequent,":[55],"primarily":[56],"due":[57],"scarcity":[60],"authentic":[62],"training":[63],"with":[65,94,118],"accurate":[66],"information.":[68],"This":[69],"paper":[70],"introduces":[71],"an":[72],"approach":[73,133],"that":[74],"eliminates":[75],"dependency":[77],"on":[78,91],"labeled":[79],"real-world":[80,138],"within":[82],"framework.":[85],"We":[86],"employ":[87],"U-Net":[89],"trained":[90],"ground":[95],"truth":[96],"supervised":[99],"manner,":[100],"enabling":[101],"it":[102],"leverage":[104],"multi-frequency":[105],"for":[108],"MPI":[109],"correction.":[110],"Concurrently,":[111],"we":[112],"compare":[113],"three":[114],"channels":[115],"input":[117],"one":[119],"channel":[120],"two":[122],"channels.":[123],"Our":[124],"experimental":[125],"results":[126],"convincingly":[127],"showcase":[128],"effectiveness":[130],"this":[132],"reducing":[135],"data.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
