{"id":"https://openalex.org/W4402301185","doi":"https://doi.org/10.1109/access.2024.3455335","title":"Scenario-Risk Net: A Comprehensive Approach to Understanding Mesoscopic Risk Scene in Autonomous Driving","display_name":"Scenario-Risk Net: A Comprehensive Approach to Understanding Mesoscopic Risk Scene in Autonomous Driving","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402301185","doi":"https://doi.org/10.1109/access.2024.3455335"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3455335","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3455335","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3455335","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060636527","display_name":"Seungwoo Nham","orcid":"https://orcid.org/0000-0001-8196-5020"},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seungwoo Nham","raw_affiliation_strings":["Graduate School of Interdisciplinary Information Studies, The University of Tokyo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8196-5020","affiliations":[{"raw_affiliation_string":"Graduate School of Interdisciplinary Information Studies, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jinho Lee","orcid":"https://orcid.org/0000-0001-6198-3168"},"institutions":[{"id":"https://openalex.org/I1322422313","display_name":"Tech University of Korea","ror":"https://ror.org/0060vt104","country_code":"KR","type":"education","lineage":["https://openalex.org/I1322422313"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinho Lee","raw_affiliation_strings":["Department of Computer Engineering, Tech University of Korea, Siheung-si, Gyeonggi-do, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-6198-3168","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Tech University of Korea, Siheung-si, Gyeonggi-do, Republic of Korea","institution_ids":["https://openalex.org/I1322422313"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101539231","display_name":"Seongryul Yang","orcid":"https://orcid.org/0000-0002-0745-5636"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seongryul Yang","raw_affiliation_strings":["Beyless, Seongnam-si, Gyeonggi-do, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-0745-5636","affiliations":[{"raw_affiliation_string":"Beyless, Seongnam-si, Gyeonggi-do, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445004","display_name":"Jihun Kim","orcid":"https://orcid.org/0009-0000-0607-5677"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jihun Kim","raw_affiliation_strings":["Beyless, Seongnam-si, Gyeonggi-do, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0000-0607-5677","affiliations":[{"raw_affiliation_string":"Beyless, Seongnam-si, Gyeonggi-do, Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004610721","display_name":"Shunsuke Kamijo","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shunsuke Kamijo","raw_affiliation_strings":["Interfaculty Initiative in Information Studies, The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interfaculty Initiative in Information Studies, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14460319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"138121","last_page":"138133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9962000250816345,"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":0.9962000250816345,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9559999704360962,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.6295746564865112},{"id":"https://openalex.org/keywords/mesoscopic-physics","display_name":"Mesoscopic physics","score":0.56385338306427},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.4198361039161682},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.11685916781425476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6295746564865112},{"id":"https://openalex.org/C177731217","wikidata":"https://www.wikidata.org/wiki/Q2622244","display_name":"Mesoscopic physics","level":2,"score":0.56385338306427},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4198361039161682},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.11685916781425476},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3455335","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3455335","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ba94ae0b48ad4ce79c15b019f98570c7","is_oa":true,"landing_page_url":"https://doaj.org/article/ba94ae0b48ad4ce79c15b019f98570c7","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":"IEEE Access, Vol 12, Pp 138121-138133 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3455335","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3455335","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1584040247","https://openalex.org/W1895727713","https://openalex.org/W2104408738","https://openalex.org/W2116341502","https://openalex.org/W2121750169","https://openalex.org/W2306952455","https://openalex.org/W2342840547","https://openalex.org/W2343568200","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2562137921","https://openalex.org/W2604314403","https://openalex.org/W2787091153","https://openalex.org/W2805516822","https://openalex.org/W2807258775","https://openalex.org/W2885364117","https://openalex.org/W2910628332","https://openalex.org/W2916798096","https://openalex.org/W2948212284","https://openalex.org/W2963150697","https://openalex.org/W2963175158","https://openalex.org/W2964110963","https://openalex.org/W2970089253","https://openalex.org/W2998152504","https://openalex.org/W2999219213","https://openalex.org/W3014641072","https://openalex.org/W3034355852","https://openalex.org/W3035564946","https://openalex.org/W3039303163","https://openalex.org/W3094502228","https://openalex.org/W3119373285","https://openalex.org/W3122447121","https://openalex.org/W4293167834","https://openalex.org/W4308450151","https://openalex.org/W4312358868","https://openalex.org/W4319300501","https://openalex.org/W4390872023","https://openalex.org/W4391770594","https://openalex.org/W4394596424","https://openalex.org/W6684921986","https://openalex.org/W6698041030","https://openalex.org/W6704559304","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6745537798","https://openalex.org/W6751796012","https://openalex.org/W6784333009","https://openalex.org/W6842665338"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W5012203","https://openalex.org/W2790535609","https://openalex.org/W1995574656","https://openalex.org/W97316223","https://openalex.org/W4240653033","https://openalex.org/W4256412014","https://openalex.org/W2534474591","https://openalex.org/W2366448304"],"abstract_inverted_index":{"This":[0,137],"paper":[1],"introduces":[2],"Scenario-Risk":[3],"Net,":[4],"a":[5,69,119,150],"novel":[6],"approach":[7],"to":[8,105,121,126,132,152,176],"integrate":[9],"risk":[10,39,50,92,116],"assessment":[11,117],"into":[12,25],"the":[13,31,87,102,113,123,140,166,170,180],"autonomous":[14,146],"driving":[15,34,147],"system":[16],"segmentation":[17,28,48,107],"process.":[18],"The":[19,41,84,110],"method":[20],"incorporates":[21],"an":[22,26,58],"attention-based":[23],"layer":[24],"existing":[27],"network,":[29],"enabling":[30],"classification":[32],"of":[33,115,135,165,169],"scenes":[35],"based":[36],"on":[37,96],"their":[38],"levels.":[40],"experimental":[42],"results":[43,85,108],"show":[44],"significant":[45],"improvements":[46],"in":[47,90,145],"accuracy,":[49],"classification,":[51],"and":[52,75,94,130,154,172,178],"situational":[53],"awareness.":[54],"Key":[55],"contributions":[56],"include":[57,162],"enhanced":[59],"model":[60],"architecture":[61],"that":[62,79],"improves":[63],"Intersection":[64],"over":[65],"Union":[66],"(IoU)":[67],"scores,":[68],"detailed":[70],"dataset":[71],"with":[72],"comprehensive":[73],"annotations,":[74],"robust":[76],"graph":[77],"construction":[78],"effectively":[80],"models":[81],"real-world":[82,174],"relationships.":[83],"demonstrate":[86],"model\u2019s":[88],"precision":[89],"assessing":[91],"levels":[93,134],"focusing":[95],"critical":[97],"elements,":[98],"while":[99],"also":[100],"emphasizing":[101],"system\u2019s":[103,124],"ability":[104,125],"refine":[106],"accurately.":[109],"research":[111,160],"highlights":[112],"integration":[114],"as":[118],"means":[120],"enhance":[122],"navigate":[127],"complex":[128],"environments":[129],"respond":[131],"varying":[133],"risk.":[136],"work":[138],"lays":[139],"foundation":[141],"for":[142],"future":[143],"advancements":[144],"technology,":[148],"offering":[149],"path":[151],"safer":[153],"more":[155],"efficient":[156],"transportation":[157],"solutions.":[158],"Future":[159],"directions":[161],"further":[163],"refinement":[164],"dataset,":[167],"optimization":[168],"system,":[171],"extensive":[173],"testing":[175],"validate":[177],"improve":[179],"approach.":[181]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
