{"id":"https://openalex.org/W4391770603","doi":"https://doi.org/10.1109/itsc57777.2023.10420845","title":"SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning","display_name":"SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4391770603","doi":"https://doi.org/10.1109/itsc57777.2023.10420845"},"language":"en","primary_location":{"id":"doi:10.1109/itsc57777.2023.10420845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10420845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089920349","display_name":"Marc R. Schlichting","orcid":"https://orcid.org/0000-0003-1140-0563"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]},{"id":"https://openalex.org/I13805885","display_name":"Vaughn College of Aeronautics and Technology","ror":"https://ror.org/056e22e24","country_code":"US","type":"education","lineage":["https://openalex.org/I13805885"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Marc R. Schlichting","raw_affiliation_strings":["Stanford University,Department of Aeronautics and Astronautics,Stanford,CA,USA,94305"],"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Aeronautics and Astronautics,Stanford,CA,USA,94305","institution_ids":["https://openalex.org/I13805885","https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093918286","display_name":"Nina V. Boord","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nina V. Boord","raw_affiliation_strings":["Stanford University,Department of Computer Science,Stanford,CA,USA,94305"],"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Computer Science,Stanford,CA,USA,94305","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003467296","display_name":"Anthony Corso","orcid":"https://orcid.org/0000-0002-4027-0473"},"institutions":[{"id":"https://openalex.org/I13805885","display_name":"Vaughn College of Aeronautics and Technology","ror":"https://ror.org/056e22e24","country_code":"US","type":"education","lineage":["https://openalex.org/I13805885"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony L. Corso","raw_affiliation_strings":["Stanford University,Department of Aeronautics and Astronautics,Stanford,CA,USA,94305"],"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Aeronautics and Astronautics,Stanford,CA,USA,94305","institution_ids":["https://openalex.org/I13805885","https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068326377","display_name":"Mykel J. Kochenderfer","orcid":"https://orcid.org/0000-0002-7238-9663"},"institutions":[{"id":"https://openalex.org/I13805885","display_name":"Vaughn College of Aeronautics and Technology","ror":"https://ror.org/056e22e24","country_code":"US","type":"education","lineage":["https://openalex.org/I13805885"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mykel J. Kochenderfer","raw_affiliation_strings":["Stanford University,Department of Aeronautics and Astronautics,Stanford,CA,USA,94305","Department of Computer Science, Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Stanford University,Department of Aeronautics and Astronautics,Stanford,CA,USA,94305","institution_ids":["https://openalex.org/I13805885","https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Computer Science, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089920349"],"corresponding_institution_ids":["https://openalex.org/I13805885","https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.2156,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63286412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2118","last_page":"2124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T11357","display_name":"Risk and Safety Analysis","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13295","display_name":"Safety Systems Engineering in Autonomy","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.6822175979614258}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6822175979614258}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc57777.2023.10420845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10420845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1966224165","https://openalex.org/W1998498767","https://openalex.org/W2124770562","https://openalex.org/W2153803621","https://openalex.org/W2484646121","https://openalex.org/W2525936901","https://openalex.org/W2615547864","https://openalex.org/W2750396059","https://openalex.org/W2897535010","https://openalex.org/W2912493354","https://openalex.org/W2952122856","https://openalex.org/W2963037989","https://openalex.org/W3181177996","https://openalex.org/W3206558114","https://openalex.org/W3208857029","https://openalex.org/W4234228486","https://openalex.org/W4255693858","https://openalex.org/W4296483387","https://openalex.org/W6620183896","https://openalex.org/W6639904974","https://openalex.org/W6745935785"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Discovering":[0],"potential":[1],"failures":[2,83],"of":[3,21,27,106,120],"an":[4,143,159],"autonomous":[5,144,160],"system":[6,47,86],"is":[7],"important":[8],"prior":[9],"to":[10,17,81,174,179],"deployment.":[11],"Falsification-based":[12],"methods":[13,181],"are":[14,79],"often":[15],"used":[16],"assess":[18,110],"the":[19,25,46,53,85,104,112,121],"safety":[20],"such":[22],"systems,":[23],"but":[24],"cost":[26],"running":[28],"many":[29],"accurate":[30,101],"simulation":[31,54],"can":[32,37],"be":[33,38],"high.":[34],"The":[35],"validation":[36],"accelerated":[39],"by":[40,51],"identifying":[41],"critical":[42],"failure":[43],"scenarios":[44,156],"for":[45,125,142],"under":[48,87],"test":[49],"and":[50,100,150],"reducing":[52],"runtime.":[55],"We":[56,128,153],"propose":[57],"a":[58,66,92,133,165,170,186],"Bayesian":[59],"approach":[60,168],"that":[61,78,97,147,182],"integrates":[62],"meta-learning":[63],"strategies":[64],"with":[65],"multi-armed":[67],"bandit":[68],"framework.":[69],"Our":[70],"method":[71],"involves":[72],"learning":[73,119],"distributions":[74,124],"over":[75,94],"scenario":[76,122],"parameters":[77],"prone":[80],"triggering":[82],"in":[84],"test,":[88],"as":[89,91],"well":[90],"distribution":[93,116],"fidelity":[95,114,140],"settings":[96,115,141],"enable":[98],"fast":[99],"simulations.":[102],"In":[103],"spirit":[105],"meta-learning,":[107],"we":[108],"also":[109],"whether":[111],"learned":[113],"facilitates":[117],"faster":[118,177],"parameter":[123],"new":[126],"scenarios.":[127],"showcase":[129],"our":[130,167],"methodology":[131],"using":[132],"cutting-edge":[134],"3D":[135],"driving":[136],"simulator,":[137],"incorporating":[138],"16":[139],"vehicle":[145,161],"stack":[146],"includes":[148],"camera":[149],"lidar":[151],"sensors.":[152],"evaluate":[154],"various":[155],"based":[157],"on":[158,185],"pre-crash":[162],"typology.":[163],"As":[164],"result,":[166],"achieves":[169],"significant":[171],"speedup,":[172],"up":[173],"18":[175],"times":[176],"compared":[178],"traditional":[180],"solely":[183],"rely":[184],"high-fidelity":[187],"simulator.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
