{"id":"https://openalex.org/W2938610404","doi":"https://doi.org/10.1109/vtcfall.2018.8690867","title":"Experimental Verification: Enabling Obstacle Mapping Based On Radio Tomographic Imaging","display_name":"Experimental Verification: Enabling Obstacle Mapping Based On Radio Tomographic Imaging","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2938610404","doi":"https://doi.org/10.1109/vtcfall.2018.8690867","mag":"2938610404"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2018.8690867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2018.8690867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102738578","display_name":"Shengxin Xu","orcid":"https://orcid.org/0000-0002-3361-7387"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengxin Xu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392540","display_name":"Heng Liu","orcid":"https://orcid.org/0000-0003-2709-9111"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Liu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001383535","display_name":"Fei Gao","orcid":"https://orcid.org/0000-0002-4678-1936"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Gao","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100341522","display_name":"Sisi Chen","orcid":"https://orcid.org/0000-0001-9448-9713"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sisi Chen","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.996999979019165,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9890000224113464,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tomographic-reconstruction","display_name":"Tomographic reconstruction","score":0.6487776041030884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6481338739395142},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.6352180242538452},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4656909704208374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32890784740448},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.2818710207939148},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08263722062110901}],"concepts":[{"id":"https://openalex.org/C97742081","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Tomographic reconstruction","level":3,"score":0.6487776041030884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6481338739395142},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.6352180242538452},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4656909704208374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32890784740448},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2818710207939148},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08263722062110901},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2018.8690867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2018.8690867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1988642011","https://openalex.org/W1998762105","https://openalex.org/W2015758432","https://openalex.org/W2049167479","https://openalex.org/W2062463137","https://openalex.org/W2113004994","https://openalex.org/W2115606256","https://openalex.org/W2121961340","https://openalex.org/W2127578024","https://openalex.org/W2133078127","https://openalex.org/W2146881125","https://openalex.org/W2147124620","https://openalex.org/W2151034334","https://openalex.org/W2471110303","https://openalex.org/W2538675461","https://openalex.org/W3217075410","https://openalex.org/W4213214284","https://openalex.org/W6804671245"],"related_works":["https://openalex.org/W2126807813","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Radio":[0],"tomographic":[1],"imaging":[2,110],"(RTI)":[3],"based":[4],"on":[5],"received":[6],"signal":[7],"strength":[8],"(RSS)":[9],"measurements":[10],"has":[11],"emerged":[12],"to":[13,21,46,84],"be":[14],"one":[15],"of":[16,132,143,151],"promising":[17],"and":[18,37],"effective":[19],"technologies":[20],"reveal":[22],"the":[23,26,32,38,41,49,68,78,86,91,95,99,103,109,139,144,152],"obstacle":[24,65,140],"in":[25,52,90],"resulting":[27],"attenuation":[28,88],"image.":[29],"Suffering":[30],"from":[31],"coarse":[33],"elliptical":[34,81],"weighting":[35],"model":[36,83],"multipath":[39],"interference,":[40],"traditional":[42,153],"RTI":[43,62,154],"is":[44,147],"unable":[45],"accurately":[47],"map":[48],"obstacle,":[50],"especially":[51],"outline":[53],"recognition.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58,76,107],"demonstrate":[59],"an":[60],"improved":[61,145],"method":[63,146],"for":[64],"mapping.":[66],"Since":[67],"detail":[69],"mapping":[70,122,141],"requires":[71],"radio":[72],"propagation":[73,82,92],"more":[74],"concentrated,":[75],"apply":[77],"inverse":[79],"area":[80],"describe":[85],"RSS":[87],"occurred":[89],"path":[93],"across":[94],"obstacle.":[96],"Moreover,":[97],"introducing":[98],"directional":[100,125],"information":[101],"into":[102],"spatial":[104],"correlation":[105],"matrix,":[106],"enhance":[108],"accuracy":[111],"by":[112],"a":[113,118],"modified":[114],"Tikhonov":[115],"regularizer":[116],"with":[117,129],"non-negative":[119],"constraint.":[120],"Field":[121],"experiments":[123],"using":[124],"antennas":[126],"are":[127],"performed":[128],"obstacles":[130],"built":[131],"different":[133],"materials.":[134],"Experimental":[135],"results":[136],"suggest":[137],"that":[138,150],"quality":[142],"better":[148],"than":[149],"method.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}