{"id":"https://openalex.org/W4206568982","doi":"https://doi.org/10.1109/icct52962.2021.9658071","title":"A Simple and Low Cost Method for Traffic Sign Measurement Based on GPS and Epipolar Geometry","display_name":"A Simple and Low Cost Method for Traffic Sign Measurement Based on GPS and Epipolar Geometry","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W4206568982","doi":"https://doi.org/10.1109/icct52962.2021.9658071"},"language":"en","primary_location":{"id":"doi:10.1109/icct52962.2021.9658071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct52962.2021.9658071","pdf_url":null,"source":{"id":"https://openalex.org/S4363607878","display_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","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/A5005998914","display_name":"Guo-hang Shan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"GuoHang Shan","raw_affiliation_strings":["Mogo Auto Intelligence and Telematics Information Technology Co., Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Mogo Auto Intelligence and Telematics Information Technology Co., Ltd, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091391011","display_name":"Shuang-cheng Jia","orcid":"https://orcid.org/0000-0003-2984-973X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ShuangCheng Jia","raw_affiliation_strings":["Mogo Auto Intelligence and Telematics Information Technology Co., Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Mogo Auto Intelligence and Telematics Information Technology Co., Ltd, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100340530","display_name":"Qian Li","orcid":"https://orcid.org/0000-0001-5732-387X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian Li","raw_affiliation_strings":["Mogo Auto Intelligence and Telematics Information Technology Co., Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Mogo Auto Intelligence and Telematics Information Technology Co., Ltd, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005998914"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22066377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"822","last_page":"828"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987000226974487,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976999759674072,"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/epipolar-geometry","display_name":"Epipolar geometry","score":0.7425552010536194},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.6850495338439941},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6614222526550293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6287742853164673},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6214662194252014},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5838592052459717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5653608441352844},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5351278185844421},{"id":"https://openalex.org/keywords/dilution-of-precision","display_name":"Dilution of precision","score":0.4695739448070526},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46732014417648315},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4323437809944153},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29915159940719604},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15083909034729004},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14550265669822693},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11750921607017517},{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.10505405068397522}],"concepts":[{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.7425552010536194},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.6850495338439941},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6614222526550293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6287742853164673},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6214662194252014},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5838592052459717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5653608441352844},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5351278185844421},{"id":"https://openalex.org/C200499919","wikidata":"https://www.wikidata.org/wiki/Q616896","display_name":"Dilution of precision","level":4,"score":0.4695739448070526},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46732014417648315},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4323437809944153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29915159940719604},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15083909034729004},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14550265669822693},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11750921607017517},{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.10505405068397522},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct52962.2021.9658071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct52962.2021.9658071","pdf_url":null,"source":{"id":"https://openalex.org/S4363607878","display_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1612997784","https://openalex.org/W2119605622","https://openalex.org/W2141584146","https://openalex.org/W2362163501","https://openalex.org/W2411093439","https://openalex.org/W3047500551","https://openalex.org/W3199728315","https://openalex.org/W6781440019","https://openalex.org/W7062370874"],"related_works":["https://openalex.org/W2508126022","https://openalex.org/W4251504644","https://openalex.org/W132764016","https://openalex.org/W2148054235","https://openalex.org/W2132043085","https://openalex.org/W3148258785","https://openalex.org/W2369285629","https://openalex.org/W2123437433","https://openalex.org/W4385405279","https://openalex.org/W2355621867"],"abstract_inverted_index":{"Traffic":[0],"signs":[1,29],"are":[2,30,72],"an":[3,10],"important":[4,11],"part":[5],"of":[6,13,88,103,106,115,118,131,134,155],"traffic":[7,28],"signals":[8],"and":[9,37,42,44,57,70,99,126,147],"element":[12],"high-precision":[14,156],"navigation":[15,157],"maps,":[16],"which":[17],"can":[18],"provide":[19],"accurate":[20],"positioning":[21],"for":[22,151],"autonomous":[23],"vehicles.":[24],"In":[25],"this":[26],"paper,":[27],"measured":[31,97],"based":[32],"on":[33],"vehicle":[34],"monocular":[35],"camera":[36],"GPS,":[38],"feature":[39,61],"point":[40],"extraction":[41],"matching,":[43],"related":[45],"mathematical":[46],"methods.":[47],"By":[48],"filtering":[49],"out":[50],"the":[51,55,60,64,67,80,96,100,104,107,112,119,127,135],"dynamic":[52],"targets":[53],"in":[54,63],"picture":[56,65,81],"evenly":[58,83],"extracting":[59],"points":[62],"region,":[66],"measurement":[68],"accuracy":[69],"stability":[71],"further":[73],"improved.":[74],"Finally,":[75],"it":[76],"is":[77,82,122,138],"determined":[78],"that":[79,111],"divided":[84],"into":[85],"16":[86],"regions":[87],"<tex":[89],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[90],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$4\\mathrm{X}4$</tex>":[91],".":[92],"The":[93],"comparison":[94],"between":[95],"value":[98,102],"actual":[101],"perimeter":[105],"road":[108,152],"sign":[109,153],"shows":[110],"size":[113,129],"error":[114,130],"88.5":[116],"%":[117],"test":[120,136],"cases":[121,137],"less":[123],"than":[124,140],"10%,":[125],"relative":[128],"only":[132],"4%":[133],"more":[139],"20":[141],"%.":[142],"It":[143],"provides":[144],"a":[145],"low-cost":[146],"efficient":[148],"technical":[149],"scheme":[150],"mapping":[154],"map.":[158]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}