{"id":"https://openalex.org/W3120635327","doi":"https://doi.org/10.1109/iv47402.2020.9304575","title":"Sensitivity Analysis of a Planning Algorithm Considering Uncertainties","display_name":"Sensitivity Analysis of a Planning Algorithm Considering Uncertainties","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3120635327","doi":"https://doi.org/10.1109/iv47402.2020.9304575","mag":"3120635327"},"language":"en","primary_location":{"id":"doi:10.1109/iv47402.2020.9304575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304575","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/A5056496353","display_name":"Franziska Henze","orcid":"https://orcid.org/0000-0003-1398-9287"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Franziska Henze","raw_affiliation_strings":["Institute for Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078198311","display_name":"Dennis Fabbender","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dennis Fabbender","raw_affiliation_strings":["Pre-Development of Automated Driving, AUDI AG, Ingolstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pre-Development of Automated Driving, AUDI AG, Ingolstadt, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091574711","display_name":"Christoph Stiller","orcid":"https://orcid.org/0000-0003-4165-2075"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Stiller","raw_affiliation_strings":["Institute for Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3264,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69370351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"1128","last_page":"1134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9994999766349792,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9937000274658203,"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/T10524","display_name":"Traffic control and management","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/sensitivity","display_name":"Sensitivity (control systems)","score":0.8039366006851196},{"id":"https://openalex.org/keywords/overtaking","display_name":"Overtaking","score":0.7833106517791748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6705604791641235},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6431421637535095},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6291555762290955},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.5129079818725586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3513171672821045},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16136497259140015}],"concepts":[{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.8039366006851196},{"id":"https://openalex.org/C2778448659","wikidata":"https://www.wikidata.org/wiki/Q1931051","display_name":"Overtaking","level":2,"score":0.7833106517791748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6705604791641235},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6431421637535095},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6291555762290955},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.5129079818725586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3513171672821045},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16136497259140015},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv47402.2020.9304575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304575","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":[{"id":"https://metadata.un.org/sdg/11","score":0.7900000214576721,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W999207820","https://openalex.org/W1521507142","https://openalex.org/W1534401054","https://openalex.org/W1965455100","https://openalex.org/W1989345169","https://openalex.org/W2016493615","https://openalex.org/W2056877664","https://openalex.org/W2088765131","https://openalex.org/W2097856935","https://openalex.org/W2128440562","https://openalex.org/W2141755357","https://openalex.org/W2152374007","https://openalex.org/W2157038334","https://openalex.org/W2313393830","https://openalex.org/W2487175822","https://openalex.org/W2583993537","https://openalex.org/W2599174273","https://openalex.org/W2782474430","https://openalex.org/W2904937669","https://openalex.org/W2909906617","https://openalex.org/W2914152888","https://openalex.org/W2943911305","https://openalex.org/W2957856899","https://openalex.org/W2970739352","https://openalex.org/W2971306529","https://openalex.org/W2983793837","https://openalex.org/W2989958156","https://openalex.org/W3100944043","https://openalex.org/W3104790740"],"related_works":["https://openalex.org/W3084163143","https://openalex.org/W3198453306","https://openalex.org/W3081587374","https://openalex.org/W591161629","https://openalex.org/W2294880310","https://openalex.org/W3004478217","https://openalex.org/W3208192858","https://openalex.org/W2102544652","https://openalex.org/W2618142536","https://openalex.org/W1998625354"],"abstract_inverted_index":{"Recent":[0],"trajectory":[1],"or":[2,16],"maneuver":[3,102],"planning":[4,148],"approaches":[5],"in":[6,82],"automated":[7],"driving":[8],"show":[9,108],"the":[10,67,77,83,91,129,147],"tendency":[11],"to":[12,80,89,125,140,152],"get":[13],"more":[14,46],"complex":[15],"even":[17,123],"become":[18,26],"a":[19,35,61,94],"black":[20],"box.":[21],"Thus,":[22],"an":[23,100],"algorithm's":[24],"decisions":[25],"less":[27],"transparent,":[28],"especially":[29],"when":[30],"uncertain":[31],"input":[32,41,142],"parameters":[33,42,117],"have":[34],"large":[36],"influence.":[37],"To":[38],"identify":[39,126],"those":[40],"whose":[43],"uncertainty":[44],"is":[45,55,60,87,112,122,150],"relevant":[47,70],"than":[48],"others',":[49],"Morris'":[50,110],"method":[51,86,111],"of":[52,93,114,132],"elementary":[53],"effects":[54],"used":[56],"here":[57],"[1].":[58],"It":[59,121],"quantitative":[62],"sensitivity":[63],"analysis":[64],"that":[65,109],"classifies":[66],"inputs":[68],"into":[69],"and":[71,96],"irrelevant,":[72],"depending":[73],"on":[74],"how":[75],"sensitive":[76],"algorithm":[78,149],"reacts":[79],"changes":[81],"input.":[84,134],"The":[85,106],"adapted":[88],"analyze":[90],"behavior":[92],"car-following":[95],"lane-changing":[97],"model":[98],"during":[99],"overtaking":[101],"with":[103],"two":[104],"vehicles.":[105],"results":[107],"capable":[113],"determining":[115],"important":[116],"for":[118,128,145],"each":[119,133],"situation.":[120],"possible":[124],"boundaries":[127],"necessary":[130],"accuracy":[131],"With":[135],"this,":[136],"we":[137],"are":[138],"able":[139,151],"determine":[141],"parameter":[143],"ranges":[144],"which":[146],"produce":[153],"reliable":[154],"output.":[155]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
