{"id":"https://openalex.org/W4206313664","doi":"https://doi.org/10.1109/icsrs53853.2021.9660641","title":"Discovery of Perception Performance Limiting Triggering Conditions in Automated Driving","display_name":"Discovery of Perception Performance Limiting Triggering Conditions in Automated Driving","publication_year":2021,"publication_date":"2021-11-24","ids":{"openalex":"https://openalex.org/W4206313664","doi":"https://doi.org/10.1109/icsrs53853.2021.9660641"},"language":"en","primary_location":{"id":"doi:10.1109/icsrs53853.2021.9660641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs53853.2021.9660641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on System Reliability and Safety (ICSRS)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.04037","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040689862","display_name":"Ahmad Adee","orcid":null},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ahmad Adee","raw_affiliation_strings":["Robert Bosch GmbH,Corporate Research,Renningen,Germany","Corporate Research, Robert Bosch GmbH, Renningen, Germany"],"affiliations":[{"raw_affiliation_string":"Robert Bosch GmbH,Corporate Research,Renningen,Germany","institution_ids":["https://openalex.org/I889804353"]},{"raw_affiliation_string":"Corporate Research, Robert Bosch GmbH, Renningen, Germany","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062736049","display_name":"Roman Gansch","orcid":null},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roman Gansch","raw_affiliation_strings":["Robert Bosch GmbH,Corporate Research,Renningen,Germany","Corporate Research, Robert Bosch GmbH, Renningen, Germany"],"affiliations":[{"raw_affiliation_string":"Robert Bosch GmbH,Corporate Research,Renningen,Germany","institution_ids":["https://openalex.org/I889804353"]},{"raw_affiliation_string":"Corporate Research, Robert Bosch GmbH, Renningen, Germany","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002540909","display_name":"Peter Liggesmeyer","orcid":"https://orcid.org/0009-0006-7839-5497"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]},{"id":"https://openalex.org/I73114660","display_name":"University of Applied Sciences Kaiserslautern","ror":"https://ror.org/05dkqa017","country_code":"DE","type":"education","lineage":["https://openalex.org/I73114660"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Liggesmeyer","raw_affiliation_strings":["University of Kaiserslautern,Software Engineering Institute,Kaiserslautern,Germany","Software Engineering Institute, University of Kaiserslautern, Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern,Software Engineering Institute,Kaiserslautern,Germany","institution_ids":["https://openalex.org/I153267046","https://openalex.org/I73114660"]},{"raw_affiliation_string":"Software Engineering Institute, University of Kaiserslautern, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038958330","display_name":"Claudius Glaeser","orcid":null},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Claudius Glaeser","raw_affiliation_strings":["Robert Bosch GmbH,Corporate Research,Renningen,Germany","Corporate Research, Robert Bosch GmbH, Renningen, Germany"],"affiliations":[{"raw_affiliation_string":"Robert Bosch GmbH,Corporate Research,Renningen,Germany","institution_ids":["https://openalex.org/I889804353"]},{"raw_affiliation_string":"Corporate Research, Robert Bosch GmbH, Renningen, Germany","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043940830","display_name":"Florian Drews","orcid":null},"institutions":[{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Drews","raw_affiliation_strings":["Robert Bosch GmbH,Corporate Research,Renningen,Germany","Corporate Research, Robert Bosch GmbH, Renningen, Germany"],"affiliations":[{"raw_affiliation_string":"Robert Bosch GmbH,Corporate Research,Renningen,Germany","institution_ids":["https://openalex.org/I889804353"]},{"raw_affiliation_string":"Corporate Research, Robert Bosch GmbH, Renningen, Germany","institution_ids":["https://openalex.org/I889804353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040689862"],"corresponding_institution_ids":["https://openalex.org/I889804353"],"apc_list":null,"apc_paid":null,"fwci":0.5579,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.67238375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"248","last_page":"257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9983000159263611,"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":0.9983000159263611,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9914000034332275,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7431610822677612},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6824158430099487},{"id":"https://openalex.org/keywords/standardization","display_name":"Standardization","score":0.6433373689651489},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.602517306804657},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5896528959274292},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5279618501663208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4463721513748169},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.441378116607666},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37869781255722046},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14570197463035583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7431610822677612},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6824158430099487},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.6433373689651489},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.602517306804657},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5896528959274292},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5279618501663208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4463721513748169},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.441378116607666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37869781255722046},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14570197463035583},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icsrs53853.2021.9660641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs53853.2021.9660641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on System Reliability and Safety (ICSRS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2303.04037","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.04037","pdf_url":"https://arxiv.org/pdf/2303.04037","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:null:publica/417947","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/417947","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2303.04037","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.04037","pdf_url":"https://arxiv.org/pdf/2303.04037","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4206313664.pdf","grobid_xml":"https://content.openalex.org/works/W4206313664.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1511986666","https://openalex.org/W2066287192","https://openalex.org/W2146022760","https://openalex.org/W2167222293","https://openalex.org/W2169782562","https://openalex.org/W2336394773","https://openalex.org/W2798149936","https://openalex.org/W2892670091","https://openalex.org/W2947197489","https://openalex.org/W2987375645","https://openalex.org/W3022552131","https://openalex.org/W3024414633","https://openalex.org/W3036077044","https://openalex.org/W3083765321","https://openalex.org/W3124527002","https://openalex.org/W3134578440","https://openalex.org/W3155776565","https://openalex.org/W3211331633","https://openalex.org/W3216630503","https://openalex.org/W4240672450","https://openalex.org/W4293857795","https://openalex.org/W6681425521"],"related_works":["https://openalex.org/W2378767206","https://openalex.org/W1540871478","https://openalex.org/W328308450","https://openalex.org/W282641168","https://openalex.org/W2376963063","https://openalex.org/W2066396794","https://openalex.org/W2366734808","https://openalex.org/W2002476357","https://openalex.org/W2391444248","https://openalex.org/W2390716080"],"abstract_inverted_index":{"Highly":[0],"automated":[1],"driving":[2],"(HAD)":[3],"vehicles":[4],"are":[5,127,145,163],"complex":[6],"systems":[7],"operating":[8],"in":[9,28,45,98,101,156,165],"an":[10],"open":[11,21],"context.":[12],"Performance":[13],"limitations":[14,72],"originating":[15],"from":[16],"sensing":[17],"and":[18,36,69,93,110,168],"understanding":[19],"the":[20,54,117,122,138,157,166],"context":[22],"under":[23,73],"triggering":[24,74,85,96,153,161],"conditions":[25,97,154,162],"may":[26],"result":[27],"unsafe":[29],"behavior,":[30],"thus,":[31],"need":[32],"to":[33,67,82,91,103,136],"be":[34],"identified":[35],"modeled.":[37],"This":[38],"aspect":[39],"of":[40,53,64,141,179,181],"safety":[41,52],"is":[42,79,134],"also":[43],"discussed":[44],"standardization":[46],"activities":[47],"such":[48],"as":[49],"ISO":[50],"21448,":[51],"intended":[55],"functionality":[56],"(SOTIF).":[57],"Although":[58],"SOTIF":[59,105],"provides":[60],"a":[61,89,99,171],"non-exhaustive":[62],"list":[63],"scenario":[65],"factors":[66],"identify":[68,83,92,137],"analyze":[70],"performance":[71],"conditions,":[75],"no":[76],"concrete":[77],"methodology":[78,90],"yet":[80],"provided":[81],"novel":[84,95,160],"conditions.":[86],"We":[87],"propose":[88],"model":[94],"scene":[100],"order":[102],"assess":[104],"using":[106,129,183],"Bayesian":[107],"network":[108],"(BN)":[109],"p-value":[111,176],"hypothesis":[112,132,177],"testing.":[113],"The":[114,159],"experts":[115,149],"provide":[116,151,175],"initial":[118],"BN":[119,167,180],"structure":[120],"while":[121],"conditional":[123],"belief":[124],"tables":[125],"(CBTs)":[126],"learned":[128],"dataset.":[130],"P-value":[131],"testing":[133,178],"used":[135],"relevant":[139],"subset":[140],"scenes.":[142,158],"These":[143],"scenes":[144],"then":[146],"analyzed":[147],"by":[148],"who":[150],"potential":[152],"present":[155],"modeled":[164],"retested.":[169],"As":[170],"case":[172],"study,":[173],"we":[174],"LIDAR":[182],"real":[184],"world":[185],"data.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}