{"id":"https://openalex.org/W7138223176","doi":"https://doi.org/10.48550/arxiv.2603.15364","title":"CRASH: Cognitive Reasoning Agent for Safety Hazards in Autonomous Driving","display_name":"CRASH: Cognitive Reasoning Agent for Safety Hazards in Autonomous Driving","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7138223176","doi":"https://doi.org/10.48550/arxiv.2603.15364"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.15364","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15364","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.15364","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129646101","display_name":"Erick Silva","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Silva, Erick","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075166587","display_name":"Rehana Yasmin","orcid":"https://orcid.org/0009-0006-9039-0648"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yasmin, Rehana","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015028788","display_name":"Ali Shoker","orcid":"https://orcid.org/0000-0002-4898-9394"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shoker, Ali","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5129646101"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.5753999948501587,"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":0.5753999948501587,"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.18610000610351562,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.03799999877810478,"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/crash","display_name":"Crash","score":0.7404999732971191},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.476500004529953},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.47269999980926514},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47049999237060547},{"id":"https://openalex.org/keywords/standardization","display_name":"Standardization","score":0.414000004529953},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.41119998693466187},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.3930000066757202},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.3625999987125397}],"concepts":[{"id":"https://openalex.org/C183469790","wikidata":"https://www.wikidata.org/wiki/Q333501","display_name":"Crash","level":2,"score":0.7404999732971191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5752999782562256},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.476500004529953},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.47269999980926514},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47049999237060547},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.414000004529953},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3930000066757202},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3407999873161316},{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C105002631","wikidata":"https://www.wikidata.org/wiki/Q4833645","display_name":"Subject-matter expert","level":3,"score":0.3287000060081482},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3111000061035156},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3070000112056732},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3027999997138977},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C107094494","wikidata":"https://www.wikidata.org/wiki/Q428453","display_name":"Fault tree analysis","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.27140000462532043},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2703000009059906},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.26330000162124634},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.2597000002861023}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.15364","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15364","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"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.15364","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15364","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"AVs":[1],"grow":[2],"in":[3,34,57,179,194],"complexity":[4],"and":[5,36,45,71,107,128,163,176,207,221],"diversity,":[6],"identifying":[7],"the":[8,40,58,131,136,154,222],"root":[9],"causes":[10],"of":[11,20,42,65,117,146,156,167,225],"operational":[12],"failures":[13],"has":[14],"become":[15],"increasingly":[16],"complex.":[17],"The":[18],"heterogeneity":[19],"system":[21,197],"architectures":[22],"across":[23],"manufacturers,":[24],"ranging":[25],"from":[26],"end-to-end":[27],"to":[28,120,135,148,217],"modular":[29],"designs,":[30],"together":[31],"with":[32,187],"variations":[33],"algorithms":[35],"integration":[37],"strategies,":[38],"limits":[39],"standardization":[41],"incident":[43,119],"investigations":[44],"hinders":[46],"systematic":[47],"safety":[48,219],"analysis.":[49],"This":[50],"work":[51],"examines":[52],"real-world":[53],"AV":[54,132,196],"incidents":[55,147,169],"reported":[56,68,168],"NHTSA":[59],"database.":[60],"We":[61,183],"curate":[62],"a":[63,114,125,174,205],"dataset":[64],"2,168":[66],"cases":[67],"between":[69],"2021":[70],"2025,":[72],"representing":[73],"more":[74],"than":[75],"80":[76],"million":[77],"miles":[78],"driven.":[79],"To":[80],"process":[81],"this":[82],"data,":[83],"we":[84],"introduce":[85],"CRASH,":[86],"Cognitive":[87],"Reasoning":[88],"Agent":[89],"for":[90,159,210],"Safety":[91],"Hazards,":[92],"an":[93],"LLM-based":[94],"agent":[95],"that":[96,141],"automates":[97],"reasoning":[98],"over":[99],"crash":[100,212],"reports":[101],"by":[102],"leveraging":[103],"both":[104],"standardized":[105],"fields":[106],"unstructured":[108],"narrative":[109],"descriptions.":[110],"CRASH":[111,143,186,200],"operates":[112],"on":[113],"unified":[115],"representation":[116],"each":[118],"generate":[121],"concise":[122],"summaries,":[123],"attribute":[124],"primary":[126],"cause,":[127],"assess":[129],"whether":[130],"materially":[133],"contributed":[134],"event.":[137],"Our":[138],"findings":[139],"show":[140],"(1)":[142],"attributes":[144],"64%":[145],"perception":[149],"or":[150],"planning":[151],"failures,":[152],"underscoring":[153],"importance":[155],"reasoning-based":[157],"analysis":[158],"accurate":[160],"fault":[161],"attribution;":[162],"(2)":[164],"approximately":[165],"50%":[166],"involve":[170],"rear-end":[171],"collisions,":[172],"highlighting":[173],"persistent":[175],"unresolved":[177],"challenge":[178],"autonomous":[180,226],"driving":[181,227],"deployment.":[182],"further":[184],"validate":[185],"five":[188],"domain":[189],"experts,":[190],"achieving":[191],"86%":[192],"accuracy":[193],"attributing":[195],"failures.":[198],"Overall,":[199],"demonstrates":[201],"strong":[202],"potential":[203],"as":[204],"scalable":[206],"interpretable":[208],"tool":[209],"automated":[211],"analysis,":[213],"providing":[214],"actionable":[215],"insights":[216],"support":[218],"research":[220],"continued":[223],"development":[224],"systems.":[228]},"counts_by_year":[],"updated_date":"2026-03-18T06:31:55.123368","created_date":"2026-03-18T00:00:00"}
