{"id":"https://openalex.org/W3119468039","doi":"https://doi.org/10.1109/iv47402.2020.9304632","title":"TTF: Time-To-Failure Estimation for ScanMatching-based Localization","display_name":"TTF: Time-To-Failure Estimation for ScanMatching-based Localization","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3119468039","doi":"https://doi.org/10.1109/iv47402.2020.9304632","mag":"3119468039"},"language":"en","primary_location":{"id":"doi:10.1109/iv47402.2020.9304632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","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/A5076472075","display_name":"Chikao Tsuchiya","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110524","display_name":"Nissan (Japan)","ror":"https://ror.org/01nks1c62","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210110524"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Chikao Tsuchiya","raw_affiliation_strings":["Mobility & AI Laboratory of Nissan Motor Co., Ltd., Atsugi, Kanagawa, JAPAN"],"affiliations":[{"raw_affiliation_string":"Mobility & AI Laboratory of Nissan Motor Co., Ltd., Atsugi, Kanagawa, JAPAN","institution_ids":["https://openalex.org/I4210110524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110735695","display_name":"Shoichi Takei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110524","display_name":"Nissan (Japan)","ror":"https://ror.org/01nks1c62","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210110524"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoichi Takei","raw_affiliation_strings":["Mobility & AI Laboratory of Nissan Motor Co., Ltd., Atsugi, Kanagawa, JAPAN"],"affiliations":[{"raw_affiliation_string":"Mobility & AI Laboratory of Nissan Motor Co., Ltd., Atsugi, Kanagawa, JAPAN","institution_ids":["https://openalex.org/I4210110524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112424149","display_name":"Yuichi Takeda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110524","display_name":"Nissan (Japan)","ror":"https://ror.org/01nks1c62","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210110524"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichi Takeda","raw_affiliation_strings":["Mobility & AI Laboratory of Nissan Motor Co., Ltd., Atsugi, Kanagawa, JAPAN"],"affiliations":[{"raw_affiliation_string":"Mobility & AI Laboratory of Nissan Motor Co., Ltd., Atsugi, Kanagawa, JAPAN","institution_ids":["https://openalex.org/I4210110524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112048439","display_name":"Abdelaziz Khiat","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110524","display_name":"Nissan (Japan)","ror":"https://ror.org/01nks1c62","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210110524"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Abdelaziz Khiat","raw_affiliation_strings":["Mobility & AI Laboratory of Nissan Motor Co., Ltd., Atsugi, Kanagawa, JAPAN"],"affiliations":[{"raw_affiliation_string":"Mobility & AI Laboratory of Nissan Motor Co., Ltd., Atsugi, Kanagawa, JAPAN","institution_ids":["https://openalex.org/I4210110524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076472075"],"corresponding_institution_ids":["https://openalex.org/I4210110524"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19754407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"631","last_page":"636"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9986000061035156,"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":0.9986000061035156,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9936000108718872,"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/computer-science","display_name":"Computer science","score":0.7355053424835205},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7092940807342529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5918649435043335},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5409395098686218},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5332623720169067},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4813433587551117},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4698934555053711},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.469072550535202},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.43822354078292847},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4035526514053345},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32599419355392456},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1791413426399231},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08229970932006836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7355053424835205},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7092940807342529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5918649435043335},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5409395098686218},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5332623720169067},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4813433587551117},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4698934555053711},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.469072550535202},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.43822354078292847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4035526514053345},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32599419355392456},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1791413426399231},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08229970932006836},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv47402.2020.9304632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1496005407","https://openalex.org/W1522301498","https://openalex.org/W1567242735","https://openalex.org/W1924770834","https://openalex.org/W1973748529","https://openalex.org/W2064675550","https://openalex.org/W2194775991","https://openalex.org/W2581056135","https://openalex.org/W2767650464","https://openalex.org/W2786672974","https://openalex.org/W2888874480","https://openalex.org/W2897459191","https://openalex.org/W2964003311","https://openalex.org/W2964121744","https://openalex.org/W2970115915","https://openalex.org/W2971156051","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W3082848404","https://openalex.org/W1979583797","https://openalex.org/W2016864125","https://openalex.org/W2372254676","https://openalex.org/W2080135837","https://openalex.org/W2793679056","https://openalex.org/W3145050838","https://openalex.org/W4283332091","https://openalex.org/W2393154870","https://openalex.org/W4237873526"],"abstract_inverted_index":{"Self-localization":[0],"is":[1,40,92,100],"of":[2,18,30,35,96,105,128],"paramount":[3],"importance":[4],"for":[5,44],"autonomous":[6,46],"vehicles,":[7],"since":[8],"the":[9,28,36,57,79,97,103,115,129],"system":[10],"interprets":[11],"traffic":[12],"scene":[13],"context":[14,104],"with":[15,65,89],"a":[16,23,31,52,62,66,72],"combination":[17],"high":[19],"definition":[20],"map":[21],"and":[22,107],"precise":[24],"ego-pose.":[25],"Therefore,":[26],"alerting":[27],"driver":[29],"potential":[32],"failure":[33,121],"ahead":[34,127],"actual":[37,130],"localization":[38,58,120],"failure,":[39],"an":[41,81],"essential":[42],"function":[43],"any":[45],"driving":[47],"system.":[48],"This":[49],"paper":[50],"introduces":[51],"Time-to-Failure":[53],"(TTF)":[54],"concept":[55],"in":[56,102],"domain.":[59],"We":[60],"propose":[61],"TTF":[63],"predictor":[64],"ResNet34-based":[67],"feature":[68],"extractor":[69],"followed":[70],"by":[71,122],"LSTM-based":[73],"regressor.":[74],"In":[75],"order":[76],"to":[77,124],"train":[78],"predictor,":[80],"efficient":[82],"training":[83],"data":[84],"generation":[85],"scheme":[86],"using":[87],"simulation":[88],"intentional":[90],"noises,":[91],"also":[93],"shown.":[94],"Evaluation":[95],"proposed":[98,116],"method":[99,117],"done":[101],"regression":[106],"classification.":[108],"The":[109],"preliminary":[110],"experimental":[111],"results":[112],"show":[113],"that":[114],"can":[118],"predict":[119],"up":[123],"10":[125],"seconds":[126],"event.":[131]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}