{"id":"https://openalex.org/W4399073441","doi":"https://doi.org/10.3390/ijgi13060176","title":"Detecting Road Intersections from Crowdsourced Trajectory Data Based on Improved YOLOv5 Model","display_name":"Detecting Road Intersections from Crowdsourced Trajectory Data Based on Improved YOLOv5 Model","publication_year":2024,"publication_date":"2024-05-28","ids":{"openalex":"https://openalex.org/W4399073441","doi":"https://doi.org/10.3390/ijgi13060176"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi13060176","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi13060176","pdf_url":null,"source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/ijgi13060176","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100613467","display_name":"Yunfei Zhang","orcid":"https://orcid.org/0000-0002-0227-4940"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Zhang","raw_affiliation_strings":["National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Changsha), Changsha University of Science & Technology, Changsha 410114, China","School of Traffic & Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China"],"raw_orcid":"https://orcid.org/0000-0002-0227-4940","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Changsha), Changsha University of Science & Technology, Changsha 410114, China","institution_ids":["https://openalex.org/I56934997"]},{"raw_affiliation_string":"School of Traffic & Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035915057","display_name":"Gengbiao Tang","orcid":"https://orcid.org/0009-0009-2158-7721"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gengbiao Tang","raw_affiliation_strings":["National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Changsha), Changsha University of Science & Technology, Changsha 410114, China","School of Traffic & Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China"],"raw_orcid":"https://orcid.org/0009-0009-2158-7721","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Changsha), Changsha University of Science & Technology, Changsha 410114, China","institution_ids":["https://openalex.org/I56934997"]},{"raw_affiliation_string":"School of Traffic & Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104314698","display_name":"Naisi Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naisi Sun","raw_affiliation_strings":["National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Changsha), Changsha University of Science & Technology, Changsha 410114, China","School of Traffic & Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Changsha), Changsha University of Science & Technology, Changsha 410114, China","institution_ids":["https://openalex.org/I56934997"]},{"raw_affiliation_string":"School of Traffic & Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China","institution_ids":["https://openalex.org/I56934997"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035915057"],"corresponding_institution_ids":["https://openalex.org/I56934997"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.6103,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65044894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"13","issue":"6","first_page":"176","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T13282","display_name":"Automated Road and Building Extraction","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/trajectory","display_name":"Trajectory","score":0.772344708442688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5183776021003723},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.36962035298347473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33668196201324463},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3264618217945099},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20262572169303894},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07071122527122498}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.772344708442688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5183776021003723},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.36962035298347473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33668196201324463},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3264618217945099},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20262572169303894},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07071122527122498},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi13060176","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi13060176","pdf_url":null,"source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:194708a86db247f88923d4964c891342","is_oa":false,"landing_page_url":"https://doaj.org/article/194708a86db247f88923d4964c891342","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 13, Iss 6, p 176 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/13/6/176/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi13060176","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":"ISPRS International Journal of Geo-Information","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi13060176","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi13060176","pdf_url":null,"source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G164342321","display_name":null,"funder_award_id":"2022JJ30590","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3302043883","display_name":null,"funder_award_id":"41971421","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5659832530","display_name":null,"funder_award_id":"CLSJCX22002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6207191196","display_name":null,"funder_award_id":"2021RC3099","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8409945285","display_name":null,"funder_award_id":"42371474","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2102605133","https://openalex.org/W2147800946","https://openalex.org/W2562886509","https://openalex.org/W2570343428","https://openalex.org/W2573093891","https://openalex.org/W2884561390","https://openalex.org/W2888834993","https://openalex.org/W2907583485","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963420686","https://openalex.org/W2997747012","https://openalex.org/W3014022945","https://openalex.org/W3034552520","https://openalex.org/W3122173535","https://openalex.org/W3172087149","https://openalex.org/W3206393477","https://openalex.org/W4220759340","https://openalex.org/W4296104994","https://openalex.org/W4306362451","https://openalex.org/W4392455563","https://openalex.org/W4392946286","https://openalex.org/W6735463952","https://openalex.org/W6742348326"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W1941703695","https://openalex.org/W4248382324","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,52,102],"recent":[1],"years,":[2],"the":[3,53,69,82,86,95,126,130,175,186,205],"rapid":[4],"development":[5],"of":[6,55,73,90,140,169],"autonomous":[7],"driving":[8],"and":[9,38,48,64,71,88,124,144,159,166,189,196,213,221],"intelligent":[10],"driver":[11],"assistance":[12],"has":[13],"brought":[14],"about":[15],"urgent":[16],"demands":[17],"on":[18,30,115],"high-precision":[19,74],"road":[20,24,75,91,112,170],"maps.":[21,76],"However,":[22],"traditional":[23],"map":[25,100],"production":[26,70],"methods":[27],"mainly":[28],"rely":[29],"professional":[31],"survey":[32],"technologies,":[33],"such":[34],"as":[35,78,216,218],"remote":[36],"sensing":[37],"mobile":[39],"mapping,":[40,57],"which":[41],"suffer":[42],"from":[43],"high":[44,217],"costs,":[45],"object":[46,226],"occlusions,":[47],"long":[49],"updating":[50,72],"cycles.":[51],"era":[54],"ubiquitous":[56],"crowdsourced":[58,116],"trajectory":[59,117],"data":[60,66,93,118,142],"offer":[61],"a":[62,107,157],"new":[63],"low-cost":[65],"resource":[67],"for":[68,110],"Meanwhile,":[77],"key":[79,138],"nodes":[80],"in":[81,98,129],"transportation":[83],"network,":[84],"maintaining":[85],"currency":[87],"integrity":[89],"intersection":[92],"is":[94,152],"primary":[96],"task":[97],"enhancing":[99],"updates.":[101],"this":[103],"paper,":[104],"we":[105,179],"propose":[106],"novel":[108],"approach":[109],"detecting":[111],"intersections":[113],"based":[114],"by":[119],"introducing":[120],"an":[121],"attention":[122,182],"mechanism":[123,183],"modifying":[125],"loss":[127,194,198],"function":[128],"YOLOv5":[131,188,207],"model.":[132],"The":[133,200],"proposed":[134],"method":[135],"encompasses":[136],"two":[137],"steps":[139],"training":[141,150],"preparation":[143],"improved":[145,206],"YOLOv5s":[146],"model":[147,208],"construction.":[148],"Multi-scale":[149],"processing":[151],"first":[153],"adopted":[154],"to":[155,173],"prepare":[156],"rich":[158],"diverse":[160],"sample":[161],"dataset,":[162],"including":[163],"various":[164],"kinds":[165],"different":[167],"sizes":[168],"intersections.":[171],"Particularly":[172],"enhance":[174],"model\u2019s":[176],"detection":[177,210,227],"performance,":[178],"inserted":[180],"convolutional":[181],"modules":[184],"into":[185],"original":[187],"integrated":[190],"other":[191,225],"alternative":[192],"confidence":[193],"functions":[195],"localization":[197],"functions.":[199],"experimental":[201],"results":[202],"demonstrate":[203],"that":[204],"achieves":[209],"accuracy,":[211],"precision,":[212],"recall":[214],"rates":[215],"97.46%,":[219],"99.57%,":[220],"97.87%,":[222],"respectively,":[223],"outperforming":[224],"models.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
