{"id":"https://openalex.org/W2896846198","doi":"https://doi.org/10.1109/ivs.2018.8500392","title":"A Fallback Approach for an Automated Vehicle Encountering Sensor Failure in Monitoring Environment","display_name":"A Fallback Approach for an Automated Vehicle Encountering Sensor Failure in Monitoring Environment","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2896846198","doi":"https://doi.org/10.1109/ivs.2018.8500392","mag":"2896846198"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2018.8500392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2018.8500392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008837766","display_name":"Wei Xue","orcid":"https://orcid.org/0000-0001-6654-499X"},"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":"Wei Xue","raw_affiliation_strings":["Graduate School of Engineering the University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering the University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071624044","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0001-8976-5971"},"institutions":[{"id":"https://openalex.org/I74640424","display_name":"Advanced Institute of Industrial Technology","ror":"https://ror.org/04f9apy08","country_code":"JP","type":"education","lineage":["https://openalex.org/I74640424"]},{"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":"Bo Yang","raw_affiliation_strings":["Institute of Industrial Science the University of Tokyo, Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science the University of Tokyo, Tokyo","institution_ids":["https://openalex.org/I74640424","https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068222503","display_name":"Tsutomu Kaizuka","orcid":"https://orcid.org/0000-0003-1140-5604"},"institutions":[{"id":"https://openalex.org/I74640424","display_name":"Advanced Institute of Industrial Technology","ror":"https://ror.org/04f9apy08","country_code":"JP","type":"education","lineage":["https://openalex.org/I74640424"]},{"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":"Tsutomu Kaizuka","raw_affiliation_strings":["Institute of Industrial Science the University of Tokyo, Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science the University of Tokyo, Tokyo","institution_ids":["https://openalex.org/I74640424","https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023192293","display_name":"Kimihiko Nakano","orcid":"https://orcid.org/0000-0003-3532-960X"},"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":"Kimihiko Nakano","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":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1807","last_page":"1812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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":0.9998000264167786,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9983999729156494,"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/T10933","display_name":"Real-Time Systems Scheduling","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/carsim","display_name":"CarSim","score":0.6683938503265381},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5870712995529175},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.54399573802948},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.5032629370689392},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.49241602420806885},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.47095853090286255},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46562641859054565},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4479599893093109},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41558265686035156},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36604517698287964},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.3604099154472351},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.35132932662963867},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.22198712825775146},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.07522299885749817}],"concepts":[{"id":"https://openalex.org/C2776053266","wikidata":"https://www.wikidata.org/wiki/Q5037194","display_name":"CarSim","level":3,"score":0.6683938503265381},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5870712995529175},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.54399573802948},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.5032629370689392},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.49241602420806885},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.47095853090286255},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46562641859054565},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4479599893093109},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41558265686035156},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36604517698287964},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3604099154472351},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.35132932662963867},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.22198712825775146},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.07522299885749817},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2018.8500392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2018.8500392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1600022730","https://openalex.org/W2060235283","https://openalex.org/W2073177254","https://openalex.org/W2154535759","https://openalex.org/W2178328776","https://openalex.org/W2212398393","https://openalex.org/W2240306106","https://openalex.org/W2740279872","https://openalex.org/W2741651693","https://openalex.org/W6688632392","https://openalex.org/W6690128809"],"related_works":["https://openalex.org/W1819938260","https://openalex.org/W2340892746","https://openalex.org/W2090534964","https://openalex.org/W2107572791","https://openalex.org/W2007435079","https://openalex.org/W1979110738","https://openalex.org/W2534917980","https://openalex.org/W1492891152","https://openalex.org/W4251854423","https://openalex.org/W3186144085"],"abstract_inverted_index":{"Dynamic":[0],"driving":[1,16,36,53],"task":[2],"(DDT)":[3],"fallback":[4,92],"turns":[5],"to":[6,22,96,107],"be":[7,62],"an":[8],"essential":[9],"part":[10],"in":[11,87,150],"level":[12,79],"3":[13],"or":[14,27],"higher":[15],"automation":[17],"systems,":[18],"which":[19],"is":[20,94,123,133,148],"responsible":[21],"either":[23],"perform":[24],"the":[25,65,71,105,111,127,130],"DDT":[26],"achieve":[28,116],"a":[29,41,57,78,108,117,145],"minimal":[30,58,118],"risk":[31,59,119],"condition":[32,60],"after":[33],"encountering":[34,83],"automated":[35],"system":[37],"(ADS)":[38],"failure.":[39],"As":[40,144],"typical":[42],"ADS":[43,49],"failure,":[44],"sensor":[45,85],"failure":[46,86],"can":[47,61],"prevent":[48],"from":[50,70],"performing":[51],"on-road":[52],"safely,":[54],"and":[55,138],"thus":[56,115],"achieved":[63],"when":[64],"failed":[66,131],"vehicle":[67,82,106,132],"stops":[68],"away":[69],"active":[72],"lane.":[73],"Therefore,":[74],"this":[75],"paper":[76],"considers":[77],"4":[80],"ADS-dedicated":[81],"front":[84],"highway":[88],"traffic.":[89],"The":[90],"proposed":[91,124],"approach":[93],"designed":[95],"avoid":[97],"potential":[98],"collision":[99],"with":[100],"surrounding":[101,136],"vehicles":[102],"while":[103],"bringing":[104],"stop":[109],"on":[110,126],"designated":[112],"parking":[113],"zone,":[114],"condition.":[120],"Safety":[121],"constraint":[122],"based":[125],"assumption":[128],"that":[129],"remarkable":[134],"by":[135],"vehicles,":[137],"enforced":[139],"using":[140],"model":[141],"predictive":[142],"control.":[143],"result,":[146],"simulation":[147],"conducted":[149],"Carsim/Simulink":[151],"environment.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
