{"id":"https://openalex.org/W2041094000","doi":"https://doi.org/10.3390/s120201437","title":"Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications","display_name":"Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications","publication_year":2012,"publication_date":"2012-02-01","ids":{"openalex":"https://openalex.org/W2041094000","doi":"https://doi.org/10.3390/s120201437","mag":"2041094000","pmid":"https://pubmed.ncbi.nlm.nih.gov/22438718"},"language":"en","primary_location":{"id":"doi:10.3390/s120201437","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s120201437","pdf_url":"https://www.mdpi.com/1424-8220/12/2/1437/pdf?version=1403316999","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/12/2/1437/pdf?version=1403316999","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003580485","display_name":"Kourosh Khoshelham","orcid":"https://orcid.org/0000-0001-6639-1727"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Kourosh Khoshelham","raw_affiliation_strings":["Faculty of Geo-Information Science and Earth Observation, University of Twente, P.O. Box 217, Enschede 7514 AE, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation, University of Twente, P.O. Box 217, Enschede 7514 AE, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059990087","display_name":"Sander Oude Elberink","orcid":"https://orcid.org/0000-0002-4511-2095"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sander Oude Elberink","raw_affiliation_strings":["Faculty of Geo-Information Science and Earth Observation, University of Twente, P.O. Box 217, Enschede 7514 AE, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation, University of Twente, P.O. Box 217, Enschede 7514 AE, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":4807.1267,"has_fulltext":true,"cited_by_count":1581,"citation_normalized_percentile":{"value":1.0,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","issue":"2","first_page":"1437","last_page":"1454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6675366163253784},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.6284563541412354},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5890779495239258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.546671986579895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5155515670776367},{"id":"https://openalex.org/keywords/accuracy-and-precision","display_name":"Accuracy and precision","score":0.49537575244903564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.482964426279068},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.48034489154815674},{"id":"https://openalex.org/keywords/measured-depth","display_name":"Measured depth","score":0.4146166741847992},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3543028235435486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20371633768081665},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16099703311920166},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12787973880767822},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1262502670288086}],"concepts":[{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6675366163253784},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6284563541412354},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5890779495239258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.546671986579895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5155515670776367},{"id":"https://openalex.org/C202799725","wikidata":"https://www.wikidata.org/wiki/Q272035","display_name":"Accuracy and precision","level":2,"score":0.49537575244903564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.482964426279068},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.48034489154815674},{"id":"https://openalex.org/C113346285","wikidata":"https://www.wikidata.org/wiki/Q6804193","display_name":"Measured depth","level":2,"score":0.4146166741847992},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3543028235435486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20371633768081665},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16099703311920166},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12787973880767822},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1262502670288086},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D004867","descriptor_name":"Equipment Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004867","descriptor_name":"Equipment Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004867","descriptor_name":"Equipment Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006798","descriptor_name":"Housing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006798","descriptor_name":"Housing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006798","descriptor_name":"Housing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008377","descriptor_name":"Maps as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008377","descriptor_name":"Maps as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008377","descriptor_name":"Maps as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011825","descriptor_name":"Radar","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D011825","descriptor_name":"Radar","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D011825","descriptor_name":"Radar","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D014159","descriptor_name":"Transducers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014159","descriptor_name":"Transducers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014159","descriptor_name":"Transducers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019544","descriptor_name":"Equipment Failure Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019544","descriptor_name":"Equipment Failure Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019544","descriptor_name":"Equipment Failure Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D040362","descriptor_name":"Geographic Information Systems","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D040362","descriptor_name":"Geographic Information Systems","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D040362","descriptor_name":"Geographic Information Systems","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false}],"locations_count":7,"locations":[{"id":"doi:10.3390/s120201437","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s120201437","pdf_url":"https://www.mdpi.com/1424-8220/12/2/1437/pdf?version=1403316999","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:22438718","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22438718","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/5be62b6d-df88-4040-8421-1ff6543a8c54","is_oa":false,"landing_page_url":"https://research.utwente.nl/en/publications/5be62b6d-df88-4040-8421-1ff6543a8c54","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Khoshelham, K & Oude Elberink, S J 2012, 'Accuracy and resolution of Kinect depth data for indoor mapping applications', Sensors (US), vol. 12, no. 2, pp. 1437-1454. https://doi.org/10.3390/s120201437","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:jupiter.its.unimelb.edu.au:11343/225605","is_oa":true,"landing_page_url":"http://hdl.handle.net/11343/225605","pdf_url":"http://hdl.handle.net/11343/225605","source":{"id":"https://openalex.org/S4377196259","display_name":"Minerva Access (University of Melbourne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165779595","host_organization_name":"The University of Melbourne","host_organization_lineage":["https://openalex.org/I165779595"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:49f48162d17c4bebb9554c5b5e262edc","is_oa":true,"landing_page_url":"https://doaj.org/article/49f48162d17c4bebb9554c5b5e262edc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 12, Iss 2, Pp 1437-1454 (2012)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/12/2/1437/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s120201437","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 12; Issue 2; Pages: 1437-1454","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:3304120","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3304120","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s120201437","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s120201437","pdf_url":"https://www.mdpi.com/1424-8220/12/2/1437/pdf?version=1403316999","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2041094000.pdf","grobid_xml":"https://content.openalex.org/works/W2041094000.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W18838560","https://openalex.org/W26969275","https://openalex.org/W133058768","https://openalex.org/W1187244281","https://openalex.org/W1603720607","https://openalex.org/W1910517923","https://openalex.org/W1971161343","https://openalex.org/W1977425268","https://openalex.org/W1984165161","https://openalex.org/W2005157454","https://openalex.org/W2016620160","https://openalex.org/W2020243185","https://openalex.org/W2022367031","https://openalex.org/W2026971984","https://openalex.org/W2046682121","https://openalex.org/W2049981393","https://openalex.org/W2059582912","https://openalex.org/W2085261163","https://openalex.org/W2099940712","https://openalex.org/W2105211214","https://openalex.org/W2106665965","https://openalex.org/W2112073811","https://openalex.org/W2115271440","https://openalex.org/W2117385163","https://openalex.org/W2119851068","https://openalex.org/W2148877839","https://openalex.org/W2154206052","https://openalex.org/W2160040544","https://openalex.org/W2170412267","https://openalex.org/W6636159401"],"related_works":["https://openalex.org/W4322703778","https://openalex.org/W2324786248","https://openalex.org/W2043595074","https://openalex.org/W2382420926","https://openalex.org/W2933166189","https://openalex.org/W2892482535","https://openalex.org/W2185672108","https://openalex.org/W2205585073","https://openalex.org/W4395082574","https://openalex.org/W2118681518"],"abstract_inverted_index":{"Consumer-grade":[0],"range":[1,125],"cameras":[2],"such":[3],"as":[4],"the":[5,9,29,33,37,46,49,57,86,89,92,98,109,123,127,132,141,145],"Kinect":[6,50],"sensor":[7,38],"have":[8],"potential":[10,26],"to":[11,108,118,137],"be":[12,138],"used":[13],"in":[14],"mapping":[15],"applications":[16],"where":[17],"accuracy":[18,58,90],"requirements":[19],"are":[20],"less":[21],"strict.":[22],"To":[23],"realize":[24],"this":[25,42],"insight":[27,84],"into":[28,85],"geometric":[30],"quality":[31,130],"of":[32,48,56,61,70,91,101,126,131,144],"data":[34,133],"acquired":[35],"by":[36,140],"is":[39,79,134],"essential.":[40],"In":[41],"paper":[43],"we":[44],"discuss":[45],"calibration":[47],"sensor,":[51,110],"and":[52,59,111],"provide":[53],"an":[54,83],"analysis":[55,78],"resolution":[60,143],"its":[62],"depth":[63,71,102,146],"data.":[64,93],"Based":[65],"on":[66],"a":[67,75,114],"mathematical":[68],"model":[69],"measurement":[72,103],"from":[73,113],"disparity":[74],"theoretical":[76],"error":[77,100],"presented,":[80],"which":[81],"provides":[82],"factors":[87],"influencing":[88],"Experimental":[94],"results":[95],"show":[96],"that":[97],"random":[99],"increases":[104],"with":[105],"increasing":[106],"distance":[107],"ranges":[112],"few":[115],"millimeters":[116],"up":[117],"about":[119],"4":[120],"cm":[121],"at":[122],"maximum":[124],"sensor.":[128],"The":[129],"also":[135],"found":[136],"influenced":[139],"low":[142],"measurements.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":46},{"year":2022,"cited_by_count":52},{"year":2021,"cited_by_count":75},{"year":2020,"cited_by_count":93},{"year":2019,"cited_by_count":112},{"year":2018,"cited_by_count":130},{"year":2017,"cited_by_count":155},{"year":2016,"cited_by_count":200},{"year":2015,"cited_by_count":242},{"year":2014,"cited_by_count":205},{"year":2013,"cited_by_count":167},{"year":2012,"cited_by_count":29}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}