{"id":"https://openalex.org/W3159220714","doi":"https://doi.org/10.1109/iv48863.2021.9575605","title":"Model Guided Road Intersection Classification","display_name":"Model Guided Road Intersection Classification","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3159220714","doi":"https://doi.org/10.1109/iv48863.2021.9575605","mag":"3159220714"},"language":"en","primary_location":{"id":"doi:10.1109/iv48863.2021.9575605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv48863.2021.9575605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2104.12417","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040865803","display_name":"Augusto Luis Ballardini","orcid":"https://orcid.org/0000-0001-6688-5081"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Augusto Luis Ballardini","raw_affiliation_strings":["Polytechnic School, Universidad de Alcal\u00e1, Alcal\u00e1 de Henares, Spain"],"affiliations":[{"raw_affiliation_string":"Polytechnic School, Universidad de Alcal\u00e1, Alcal\u00e1 de Henares, Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026663666","display_name":"\u00c1lvaro Hern\u00e1ndez","orcid":"https://orcid.org/0000-0002-3779-6474"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alvaro Hernandez Saz","raw_affiliation_strings":["Polytechnic School, Universidad de Alcal\u00e1, Alcal\u00e1 de Henares, Spain"],"affiliations":[{"raw_affiliation_string":"Polytechnic School, Universidad de Alcal\u00e1, Alcal\u00e1 de Henares, Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002294104","display_name":"Miguel \u00c1ngel Sotelo","orcid":"https://orcid.org/0000-0001-8809-2103"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miguel Angel Sotelo","raw_affiliation_strings":["Polytechnic School, Universidad de Alcal\u00e1, Alcal\u00e1 de Henares, Spain"],"affiliations":[{"raw_affiliation_string":"Polytechnic School, Universidad de Alcal\u00e1, Alcal\u00e1 de Henares, Spain","institution_ids":["https://openalex.org/I189268942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040865803"],"corresponding_institution_ids":["https://openalex.org/I189268942"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04685564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"703","last_page":"709"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/intersection","display_name":"Intersection (aeronautics)","score":0.8973922729492188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6690316796302795},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6090188026428223},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.588791012763977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.517085075378418},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48735079169273376},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4707249701023102},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3901883065700531},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3054336607456207},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24652311205863953},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0774066150188446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06149968504905701}],"concepts":[{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.8973922729492188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6690316796302795},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6090188026428223},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.588791012763977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.517085075378418},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48735079169273376},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4707249701023102},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3901883065700531},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3054336607456207},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24652311205863953},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0774066150188446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06149968504905701},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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":5,"locations":[{"id":"doi:10.1109/iv48863.2021.9575605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv48863.2021.9575605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2104.12417","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.12417","pdf_url":"https://arxiv.org/pdf/2104.12417","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:ebuah.uah.es:10017/62905","is_oa":true,"landing_page_url":"http://hdl.handle.net/10017/62905","pdf_url":"https://ebuah.uah.es/dspace/bitstream/10017/62905/3/Model_Ballardini_IV_2021.pdf","source":{"id":"https://openalex.org/S7407055200","display_name":"e_Buah","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/acceptedVersion"},{"id":"mag:3159220714","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2104.12417","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2104.12417","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2104.12417","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.12417","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.12417","pdf_url":"https://arxiv.org/pdf/2104.12417","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3229260262","display_name":null,"funder_award_id":"754382","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W564565521","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2056381489","https://openalex.org/W2096733369","https://openalex.org/W2108598243","https://openalex.org/W2115579991","https://openalex.org/W2142292167","https://openalex.org/W2194775991","https://openalex.org/W2286655030","https://openalex.org/W2340897893","https://openalex.org/W2487052142","https://openalex.org/W2555874658","https://openalex.org/W2737606207","https://openalex.org/W2772394551","https://openalex.org/W2899771611","https://openalex.org/W2904766704","https://openalex.org/W2963351448","https://openalex.org/W2964162504","https://openalex.org/W2968569842","https://openalex.org/W2970819340","https://openalex.org/W3025180768","https://openalex.org/W3034514115","https://openalex.org/W3082743163","https://openalex.org/W3091701820","https://openalex.org/W3099206234","https://openalex.org/W6615683329","https://openalex.org/W6637373629","https://openalex.org/W6639102338","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W3210087939","https://openalex.org/W3129111221","https://openalex.org/W3096225893","https://openalex.org/W1412206179","https://openalex.org/W3208122016","https://openalex.org/W3203463933","https://openalex.org/W3016570102","https://openalex.org/W3113913559","https://openalex.org/W3113702544","https://openalex.org/W2051727811","https://openalex.org/W3162272857","https://openalex.org/W2964398782","https://openalex.org/W2907532022","https://openalex.org/W3160702763","https://openalex.org/W2966788600","https://openalex.org/W3127659833","https://openalex.org/W3214582035","https://openalex.org/W2015358807","https://openalex.org/W1601814991","https://openalex.org/W3095552404"],"abstract_inverted_index":{"Understanding":[0],"complex":[1],"scenarios":[2],"from":[3,88],"in-vehicle":[4],"cameras":[5],"is":[6,50],"essential":[7],"for":[8,55],"safely":[9],"operating":[10],"autonomous":[11,57],"driving":[12],"systems":[13],"in":[14],"densely":[15],"populated":[16],"areas.":[17],"Among":[18],"these,":[19],"intersection":[20,86,144],"areas":[21,49,87],"are":[22],"one":[23],"of":[24,34,45,52,75,153],"the":[25,42,73,102,106,117,128,133,151,154],"most":[26],"critical":[27],"as":[28],"they":[29],"concentrate":[30],"a":[31,98],"considerable":[32],"number":[33],"traffic":[35],"accidents":[36],"and":[37,40,59,71,121,132],"fatalities.":[38],"Detecting":[39],"understanding":[41],"scene":[43],"configuration":[44,120],"these":[46],"usually":[47],"crowded":[48],"then":[51],"extreme":[53],"importance":[54],"both":[56,127],"vehicles":[58],"modern":[60],"Advanced":[61],"Driver":[62],"Assistance":[63],"Systems":[64],"(ADAS),":[65],"aimed":[66,114],"at":[67,115],"preventing":[68],"road":[69],"crashes":[70],"increasing":[72],"safety":[74],"Vulnerable":[76],"Road":[77],"Users":[78],"(VRU).":[79],"This":[80],"work":[81],"investigates":[82],"how":[83],"to":[84,100],"classify":[85],"RGB":[89],"images":[90],"using":[91],"well-consolidated":[92],"neural":[93],"network":[94,124],"approaches":[95,146],"along":[96],"with":[97],"method":[99,140],"enhance":[101],"results":[103],"based":[104],"on":[105,126,147],"teacher/student":[107],"training":[108],"paradigm.":[109],"An":[110],"extensive":[111],"experimental":[112],"activity":[113],"identifying":[116],"best":[118],"input":[119],"evaluating":[122],"different":[123],"parameters":[125],"well-known":[129],"KITTI":[130],"dataset":[131],"new":[134],"KITTI-360":[135],"sequences":[136],"shows":[137],"that":[138],"our":[139],"outperforms":[141],"current":[142],"state-of-the-art":[143],"classification":[145],"per-frame":[148],"basis,":[149],"proving":[150],"effectiveness":[152],"proposed":[155],"learning":[156],"scheme.":[157]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}