{"id":"https://openalex.org/W4400114860","doi":"https://doi.org/10.1109/i2mtc60896.2024.10561218","title":"Method for Capturing Measured LiDAR Data with Ground Truth for Generation of Big Real LiDAR Data Sets","display_name":"Method for Capturing Measured LiDAR Data with Ground Truth for Generation of Big Real LiDAR Data Sets","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4400114860","doi":"https://doi.org/10.1109/i2mtc60896.2024.10561218"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc60896.2024.10561218","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/i2mtc60896.2024.10561218","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/A5099659321","display_name":"Ola Gatner","orcid":null},"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":"Ola Gatner","raw_affiliation_strings":["Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"middle","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,Department of Computer and Electrical Engineering,Sundsvall,Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"middle","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":false,"raw_author_name":"Yali Nie","raw_affiliation_strings":["Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Department of 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,Department of Computer and Electrical Engineering,Sundsvall,Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024364073","display_name":"Muhammad Imran","orcid":"https://orcid.org/0000-0002-2827-0462"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muhammad Imran","raw_affiliation_strings":["A.I, Deep Learning Specialist IKEA of Sweden,Älmhult,Sweden"],"affiliations":[{"raw_affiliation_string":"A.I, Deep Learning Specialist IKEA of Sweden,Älmhult,Sweden","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5099659321"],"corresponding_institution_ids":["https://openalex.org/I56475706"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09018178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9901999831199646,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9901999831199646,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9138000011444092,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/lidar","display_name":"Lidar","score":0.9460126161575317},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.7973223924636841},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5785276889801025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5452634692192078},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.45320963859558105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2647157311439514},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2257811725139618},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2095644772052765}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.9460126161575317},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7973223924636841},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5785276889801025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5452634692192078},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.45320963859558105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2647157311439514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2257811725139618},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2095644772052765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc60896.2024.10561218","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/i2mtc60896.2024.10561218","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1835867092","https://openalex.org/W1954152232","https://openalex.org/W2063549868","https://openalex.org/W2119851068","https://openalex.org/W2131653896","https://openalex.org/W2768431869","https://openalex.org/W2776330782","https://openalex.org/W2889054948","https://openalex.org/W3021013305","https://openalex.org/W3045749263","https://openalex.org/W3099141203","https://openalex.org/W3106403396","https://openalex.org/W4282828553","https://openalex.org/W4386075587"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2351984678","https://openalex.org/W2140032575","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421","https://openalex.org/W2803457939"],"abstract_inverted_index":{"The":[0],"development":[1,33],"of":[2,23,34,48,60,70,77,174],"machine":[3],"learning":[4],"has":[5],"resulted":[6],"in":[7,13,62,73],"data":[8,18,39,100,110,139,146,161],"gaining":[9],"a":[10,52,74,96,103,132,153],"pivotal":[11],"role":[12],"the":[14,20,32,57,63,68,149,155],"technological":[15],"advancement,":[16],"especially":[17],"where":[19],"ground":[21,42,88,108,125,169],"truth":[22,89,109,126,170],"targeted":[24],"parameters":[25],"can":[26],"be":[27],"efficiently":[28],"captured.":[29],"This":[30,112],"requires":[31],"methods":[35],"that":[36,134],"facilitate":[37,115],"accurate":[38,87,168],"collection":[40],"with":[41,107,122,172],"truth.":[43],"Under":[44],"this":[45,92],"perspective,":[46],"Time":[47],"Flight":[49],"sensors":[50,72,121],"pose":[51],"high":[53,123],"complexity":[54],"due":[55],"to":[56,84,166],"multifaceted":[58],"nature":[59],"noise":[61],"captured":[64,147],"data.":[65,90,127],"To":[66],"enable":[67],"use":[69],"such":[71],"wide":[75],"range":[76],"applications":[78],"including":[79],"Artificial":[80],"Intelligence,":[81],"we":[82,94,130],"need":[83],"provide":[85,131],"also":[86,141],"In":[91,128],"article,":[93],"present":[95],"method":[97,113,157],"for":[98],"automated":[99],"capturing":[101,162],"from":[102,119,136,148],"LiDAR":[104,120,150],"sensor":[105,138],"together":[106],"generation.":[111],"will":[114],"generating":[116],"big":[117],"datasets":[118],"accuracy":[124],"addition,":[129],"dataset":[133],"aside":[135],"depth":[137],"contains":[140],"RGB,":[142],"confidence":[143],"and":[144],"infrared":[145],"sensor.":[151],"As":[152],"result,":[154],"proposed":[156],"not":[158],"only":[159,175],"facilitates":[160],"but":[163],"it":[164],"enables":[165],"generate":[167],"data,":[171],"RMSE":[173],"0.04":[176],"m":[177,180],"at":[178],"1.3":[179],"distance.":[181]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}