{"id":"https://openalex.org/W4399881122","doi":"https://doi.org/10.1109/tiv.2024.3417353","title":"Exploring the Potential of Multi-Modal AI for Driving Hazard Prediction","display_name":"Exploring the Potential of Multi-Modal AI for Driving Hazard Prediction","publication_year":2024,"publication_date":"2024-06-21","ids":{"openalex":"https://openalex.org/W4399881122","doi":"https://doi.org/10.1109/tiv.2024.3417353"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2024.3417353","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tiv.2024.3417353","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"is_oa":false,"is_in_doaj":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tiv.2024.3417353","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064140378","display_name":"Korawat Charoenpitaks","orcid":"https://orcid.org/0009-0002-1780-8164"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Korawat Charoenpitaks","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University, Sendai, Japan","Graduate School of Information Sciences, Tohoku University, Japan"],"raw_orcid":"https://orcid.org/0009-0002-1780-8164","affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766671","display_name":"Van\u2010Quang Nguyen","orcid":"https://orcid.org/0000-0001-5053-9328"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Van-Quang Nguyen","raw_affiliation_strings":["RIKEN Center for AIP, Tokyo, Japan","RIKEN Center for AIP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN Center for AIP, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"RIKEN Center for AIP","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042810984","display_name":"Masanori Suganuma","orcid":"https://orcid.org/0000-0002-1469-9663"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masanori Suganuma","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University, Sendai, Japan","Graduate School of Information Sciences, Tohoku University, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1469-9663","affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Masahiro Takahashi","orcid":"https://orcid.org/0009-0000-6514-4345"},"institutions":[{"id":"https://openalex.org/I4210132650","display_name":"Denso (Japan)","ror":"https://ror.org/04hkpfa76","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210132650"]},{"id":"https://openalex.org/I67530263","display_name":"Denso (United States)","ror":"https://ror.org/02w314k38","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132650","https://openalex.org/I67530263"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Masahiro Takahashi","raw_affiliation_strings":["DENSO Corporation, Kariya, Japan","DENSO CORPORATION"],"raw_orcid":"https://orcid.org/0009-0000-6514-4345","affiliations":[{"raw_affiliation_string":"DENSO Corporation, Kariya, Japan","institution_ids":["https://openalex.org/I4210132650"]},{"raw_affiliation_string":"DENSO CORPORATION","institution_ids":["https://openalex.org/I67530263"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093047615","display_name":"Ryoma Niihara","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132650","display_name":"Denso (Japan)","ror":"https://ror.org/04hkpfa76","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210132650"]},{"id":"https://openalex.org/I67530263","display_name":"Denso (United States)","ror":"https://ror.org/02w314k38","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132650","https://openalex.org/I67530263"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Ryoma Niihara","raw_affiliation_strings":["DENSO Corporation, Kariya, Japan","DENSO CORPORATION"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DENSO Corporation, Kariya, Japan","institution_ids":["https://openalex.org/I4210132650"]},{"raw_affiliation_string":"DENSO CORPORATION","institution_ids":["https://openalex.org/I67530263"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009259465","display_name":"Takayuki Okatani","orcid":"https://orcid.org/0000-0001-9222-763X"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Okatani","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University, Sendai, Japan","Graduate School of Information Sciences, Tohoku University, Japan"],"raw_orcid":"https://orcid.org/0000-0001-9222-763X","affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064140378"],"corresponding_institution_ids":["https://openalex.org/I201537933"],"apc_list":null,"apc_paid":null,"fwci":1.7761,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83029617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"10","issue":"1","first_page":"709","last_page":"719"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9332000017166138,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9332000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6907293796539307},{"id":"https://openalex.org/keywords/hazard","display_name":"Hazard","score":0.6154630184173584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4328896701335907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33342182636260986},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.33048367500305176},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08320444822311401},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.05386173725128174},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.04279661178588867}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6907293796539307},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.6154630184173584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4328896701335907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33342182636260986},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.33048367500305176},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08320444822311401},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.05386173725128174},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.04279661178588867},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tiv.2024.3417353","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tiv.2024.3417353","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"is_oa":false,"is_in_doaj":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tiv.2024.3417353","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tiv.2024.3417353","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"is_oa":false,"is_in_doaj":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1043498664","display_name":null,"funder_award_id":"23H00482","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6852524107","display_name":null,"funder_award_id":"20H05952","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1933349210","https://openalex.org/W1956340063","https://openalex.org/W2101105183","https://openalex.org/W2169203263","https://openalex.org/W2592008540","https://openalex.org/W2803740064","https://openalex.org/W2885138528","https://openalex.org/W2888739182","https://openalex.org/W2963860024","https://openalex.org/W2964217160","https://openalex.org/W2970603850","https://openalex.org/W3000279895","https://openalex.org/W3003987610","https://openalex.org/W3035292170","https://openalex.org/W3035564946","https://openalex.org/W3046330049","https://openalex.org/W3048065666","https://openalex.org/W3098753351","https://openalex.org/W3103451137","https://openalex.org/W3118519864","https://openalex.org/W3138006982","https://openalex.org/W3162428900","https://openalex.org/W3166608351","https://openalex.org/W3176454305","https://openalex.org/W3176776997","https://openalex.org/W3184054780","https://openalex.org/W3184612208","https://openalex.org/W4213101961","https://openalex.org/W4242082217","https://openalex.org/W4285267480","https://openalex.org/W4287887088","https://openalex.org/W4312299632","https://openalex.org/W4312338297","https://openalex.org/W4313598843","https://openalex.org/W4319300501","https://openalex.org/W4378510493","https://openalex.org/W4391451889","https://openalex.org/W4393148430","https://openalex.org/W4394596424","https://openalex.org/W6682631176","https://openalex.org/W6730719754","https://openalex.org/W6766904570","https://openalex.org/W6791353385","https://openalex.org/W6810334672","https://openalex.org/W6811013733","https://openalex.org/W6839219649","https://openalex.org/W6849177959","https://openalex.org/W6851592950","https://openalex.org/W6851950068","https://openalex.org/W6853116092","https://openalex.org/W6857660107"],"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/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"This":[0,176],"paper":[1],"addresses":[2],"the":[3,91,132,180,194],"problem":[4,62,186],"of":[5,22,104,109,147,196],"predicting":[6,64],"hazards":[7],"that":[8,42,150],"drivers":[9],"may":[10],"encounter":[11],"while":[12],"driving":[13,39,200],"a":[14,20,27,87,118,123,153,184],"car.":[15],"We":[16,157],"formulate":[17],"it":[18],"as":[19],"task":[21],"anticipating":[23],"impending":[24],"accidents":[25,149],"using":[26],"single":[28],"input":[29],"image":[30,114],"captured":[31],"by":[32,137,182],"car":[33,121],"dashcams.":[34],"Unlike":[35],"existing":[36],"approaches":[37],"to":[38,179,192],"hazard":[40,125,201],"prediction":[41],"rely":[43],"on":[44,55,71,166],"computational":[45],"simulations":[46],"or":[47],"anomaly":[48],"detection":[49],"from":[50,58],"videos,":[51],"this":[52,84],"study":[53,177],"focuses":[54],"high-level":[56],"inference":[57],"static":[59],"images.":[60],"The":[61,101],"needs":[63],"and":[65,96,112,127,144,162,172,188],"reasoning":[66],"about":[67],"future":[68,174],"events":[69],"based":[70],"uncertain":[72],"observations,":[73],"which":[74],"falls":[75],"under":[76],"visual":[77,128],"abductive":[78],"reasoning.":[79],"To":[80],"enable":[81],"research":[82],"in":[83,131],"understudied":[85],"area,":[86],"new":[88],"dataset":[89,98,102],"named":[90],"DHPR":[92],"(Driving":[93],"Hazard":[94],"Prediction":[95],"Reasoning)":[97],"is":[99,115],"created.":[100],"consists":[103],"15":[105],"K":[106],"dashcam":[107],"images":[108],"street":[110],"scenes,":[111],"each":[113],"associated":[116],"with":[117],"tuple":[119],"containing":[120],"speed,":[122],"hypothesized":[124],"description,":[126],"entities":[129],"present":[130,158],"scene.":[133],"These":[134],"are":[135],"annotated":[136],"human":[138],"annotators,":[139],"who":[140],"identify":[141],"risky":[142],"scenes":[143],"provide":[145],"descriptions":[146],"potential":[148,195],"could":[151],"occur":[152],"few":[154],"seconds":[155],"later.":[156],"several":[159],"baseline":[160],"methods":[161],"evaluate":[163],"their":[164],"performance":[165],"our":[167],"dataset,":[168,189],"identifying":[169],"remaining":[170],"issues":[171],"discussing":[173],"directions.":[175],"contributes":[178],"field":[181],"introducing":[183],"novel":[185],"formulation":[187],"enabling":[190],"researchers":[191],"explore":[193],"multi-modal":[197],"AI":[198],"for":[199],"prediction.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}