{"id":"https://openalex.org/W4220814350","doi":"https://doi.org/10.1109/iccve52871.2022.9742719","title":"Comparing a Linear Filter with a ML-based Approach for Modeling Perception Errors of Automated Vehicles","display_name":"Comparing a Linear Filter with a ML-based Approach for Modeling Perception Errors of Automated Vehicles","publication_year":2022,"publication_date":"2022-03-07","ids":{"openalex":"https://openalex.org/W4220814350","doi":"https://doi.org/10.1109/iccve52871.2022.9742719"},"language":"en","primary_location":{"id":"doi:10.1109/iccve52871.2022.9742719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccve52871.2022.9742719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Connected Vehicle and Expo (ICCVE)","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/A5084161978","display_name":"Martin Sigl","orcid":null},"institutions":[{"id":"https://openalex.org/I1283382300","display_name":"BMW (Germany)","ror":"https://ror.org/05vs9tj88","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283382300","https://openalex.org/I4210156768"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Sigl","raw_affiliation_strings":["BMW AG,M&#x00FC;nchen,Germany,80788"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BMW AG,M&#x00FC;nchen,Germany,80788","institution_ids":["https://openalex.org/I1283382300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068709967","display_name":"Andreas Lebherz","orcid":null},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Andreas Lebherz","raw_affiliation_strings":["Institute of Automation and Control at Graz University of Technology,Graz,Austria,8010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation and Control at Graz University of Technology,Graz,Austria,8010","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112667713","display_name":"Christoph Sch\u00fctz","orcid":null},"institutions":[{"id":"https://openalex.org/I1283382300","display_name":"BMW (Germany)","ror":"https://ror.org/05vs9tj88","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283382300","https://openalex.org/I4210156768"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Schutz","raw_affiliation_strings":["BMW AG,M&#x00FC;nchen,Germany,80788"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BMW AG,M&#x00FC;nchen,Germany,80788","institution_ids":["https://openalex.org/I1283382300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075233840","display_name":"Sebastian Wagner","orcid":"https://orcid.org/0000-0001-6468-4833"},"institutions":[{"id":"https://openalex.org/I1283382300","display_name":"BMW (Germany)","ror":"https://ror.org/05vs9tj88","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283382300","https://openalex.org/I4210156768"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Wagner","raw_affiliation_strings":["BMW AG,M&#x00FC;nchen,Germany,80788"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BMW AG,M&#x00FC;nchen,Germany,80788","institution_ids":["https://openalex.org/I1283382300"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000655556","display_name":"Daniel Watzenig","orcid":null},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]},{"id":"https://openalex.org/I4210112585","display_name":"Virtual Vehicle Research GmbH (Austria)","ror":"https://ror.org/029rc9g37","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210112585"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Daniel Watzenig","raw_affiliation_strings":["Institute of Automation and Control at Graz University of Technology,Graz,Austria,8010","Virtual Vehicle Research GmbH, Graz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation and Control at Graz University of Technology,Graz,Austria,8010","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Virtual Vehicle Research GmbH, Graz, Austria","institution_ids":["https://openalex.org/I4210112585"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01802243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"51","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9761000275611877,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.975600004196167,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7374265193939209},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.7349650859832764},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.68290776014328},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.672452449798584},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5626494288444519},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.5097200274467468},{"id":"https://openalex.org/keywords/virtual-machine","display_name":"Virtual machine","score":0.4430297017097473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4094691276550293},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37347808480262756},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33975017070770264},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32844677567481995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374265193939209},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7349650859832764},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.68290776014328},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.672452449798584},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5626494288444519},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.5097200274467468},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.4430297017097473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4094691276550293},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37347808480262756},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33975017070770264},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32844677567481995},{"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/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":1,"locations":[{"id":"doi:10.1109/iccve52871.2022.9742719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccve52871.2022.9742719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Connected Vehicle and Expo (ICCVE)","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":29,"referenced_works":["https://openalex.org/W311914724","https://openalex.org/W1490488263","https://openalex.org/W1810943226","https://openalex.org/W1914008033","https://openalex.org/W2064675550","https://openalex.org/W2098398123","https://openalex.org/W2150355110","https://openalex.org/W2565558192","https://openalex.org/W2592680288","https://openalex.org/W2598573251","https://openalex.org/W2766736793","https://openalex.org/W2772310413","https://openalex.org/W2786583476","https://openalex.org/W2896642734","https://openalex.org/W2911362738","https://openalex.org/W2920714358","https://openalex.org/W2946000748","https://openalex.org/W2954174912","https://openalex.org/W2964851200","https://openalex.org/W2970897831","https://openalex.org/W2980994438","https://openalex.org/W3001519147","https://openalex.org/W3016600231","https://openalex.org/W3092439342","https://openalex.org/W3100435238","https://openalex.org/W3169012915","https://openalex.org/W6638273328","https://openalex.org/W6674457426","https://openalex.org/W6746646121"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2113666009","https://openalex.org/W2145649715","https://openalex.org/W4294974825","https://openalex.org/W2967400911","https://openalex.org/W2047313939"],"abstract_inverted_index":{"Virtual":[0],"tests":[1],"are":[2,10,67,76,91],"used":[3,118],"increasingly":[4],"to":[5,44,54,63,69,82,93,119],"assess":[6],"automated":[7,21,39,51,88,106],"driving.":[8],"They":[9,90],"generally":[11],"based":[12],"on":[13],"ground":[14,102],"truth":[15,103],"information.":[16],"The":[17,113],"perception":[18,72],"process":[19,37],"of":[20,30,38,87,110],"vehicles":[22],"with":[23],"sensors":[24],"provides":[25],"a":[26],"shifted,":[27],"erroneous":[28],"view":[29,48,86,109],"the":[31,34,50,84,99,111,121],"environment.":[32,112],"Within":[33],"virtual":[35,122],"assessment":[36,123],"driving,":[40],"it":[41],"is":[42],"necessary":[43],"restore":[45],"this":[46],"sensor":[47,85,108],"for":[49],"driving":[52],"function":[53],"ensure":[55],"realistic":[56],"testing.":[57],"This":[58],"paper":[59],"presents":[60],"two":[61],"approaches":[62,75],"derive":[64],"models":[65,95,115],"that":[66,96],"able":[68,92],"recreate":[70],"these":[71],"errors.":[73],"Both":[74],"evaluated":[77],"regarding":[78],"their":[79],"overall":[80],"performance":[81],"emulate":[83],"vehicles.":[89],"create":[94],"significantly":[97],"reduce":[98],"difference":[100],"between":[101],"and":[104],"an":[105],"vehicle's":[107],"resulting":[114],"can":[116],"be":[117],"improve":[120],"process.":[124]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
