{"id":"https://openalex.org/W2804403788","doi":"https://doi.org/10.1109/itsc.2018.8569658","title":"Generating Comfortable, Safe and Comprehensible Trajectories for Automated Vehicles in Mixed Traffic","display_name":"Generating Comfortable, Safe and Comprehensible Trajectories for Automated Vehicles in Mixed Traffic","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2804403788","doi":"https://doi.org/10.1109/itsc.2018.8569658","mag":"2804403788"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2018.8569658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2018.8569658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1805.05374","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Maximilian Naumann","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Maximilian Naumann","raw_affiliation_strings":["Mobile Perception Systems, FZI Research Center for Information Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Mobile Perception Systems, FZI Research Center for Information Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Martin Lauer","orcid":null},"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":"Martin Lauer","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT), Institute of Measurement and Control, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Institute of Measurement and Control, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":null,"display_name":"Christoph Stiller","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Stiller","raw_affiliation_strings":["Mobile Perception Systems, FZI Research Center for Information Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Mobile Perception Systems, FZI Research Center for Information Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I143379178"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143379178"],"apc_list":null,"apc_paid":null,"fwci":1.3464,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82503428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"575","last_page":"582"},"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/T10524","display_name":"Traffic control and management","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/focus","display_name":"Focus (optics)","score":0.6420000195503235},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6075999736785889},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5753999948501587},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5289999842643738},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.3718999922275543},{"id":"https://openalex.org/keywords/statement","display_name":"Statement (logic)","score":0.34619998931884766}],"concepts":[{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6420000195503235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6144999861717224},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6075999736785889},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5753999948501587},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5289999842643738},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.3718999922275543},{"id":"https://openalex.org/C2777026412","wikidata":"https://www.wikidata.org/wiki/Q2684591","display_name":"Statement (logic)","level":2,"score":0.34619998931884766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33180001378059387},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.3091000020503998},{"id":"https://openalex.org/C202532154","wikidata":"https://www.wikidata.org/wiki/Q4374193","display_name":"Problem statement","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.29589998722076416},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2799000144004822},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.25780001282691956},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itsc.2018.8569658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2018.8569658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1805.05374","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.05374","pdf_url":"https://arxiv.org/pdf/1805.05374","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1805.05374","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.05374","pdf_url":"https://arxiv.org/pdf/1805.05374","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1568248713","https://openalex.org/W1986388946","https://openalex.org/W2004815408","https://openalex.org/W2021667711","https://openalex.org/W2032924574","https://openalex.org/W2042135873","https://openalex.org/W2047030012","https://openalex.org/W2148361676","https://openalex.org/W2562817597","https://openalex.org/W2740071316","https://openalex.org/W2741737371","https://openalex.org/W2782474430","https://openalex.org/W2896542957","https://openalex.org/W6743085725"],"related_works":[],"abstract_inverted_index":{"While":[0],"motion":[1,57,67],"planning":[2,58,68],"approaches":[3,133],"for":[4,25,30,86,127],"automated":[5,35],"driving":[6,36],"often":[7],"focus":[8],"on":[9],"safety":[10,24],"and":[11,28,84,117,119],"mathematical":[12],"optimality":[13],"with":[14],"respect":[15],"to":[16,44,70],"technical":[17],"parameters,":[18],"they":[19],"barely":[20],"consider":[21],"convenience,":[22],"perceived":[23],"the":[26,53,66],"passenger":[27],"comprehensibility":[29],"other":[31,95],"traffic":[32,96,136],"participants.":[33],"For":[34],"in":[37,59,114,121,134,141],"mixed":[38,60,135],"traffic,":[39],"however,":[40],"this":[41,49,104],"is":[42],"key":[43],"reach":[45],"public":[46],"acceptance.":[47],"In":[48],"paper,":[50],"we":[51,75,139],"revise":[52],"problem":[54,69],"statement":[55],"of":[56,63,94,101,103],"traffic:":[61],"Instead":[62],"largely":[64],"simplifying":[65],"a":[71,77,87],"convex":[72],"optimization":[73],"problem,":[74],"keep":[76],"more":[78],"complex":[79],"probabilistic":[80],"multi":[81],"agent":[82],"model":[83],"strive":[85],"near":[88],"optimal":[89],"solution.":[90],"We":[91],"assume":[92],"cooperation":[93],"participants,":[97],"yet":[98],"being":[99],"aware":[100],"violations":[102],"assumption.":[105],"This":[106],"approach":[107],"yields":[108],"solutions":[109],"that":[110,123],"are":[111,124],"provably":[112],"safe":[113],"all":[115],"situations,":[116],"convenient":[118],"comprehensible":[120],"situations":[122],"also":[125],"unambiguous":[126],"humans.":[128],"Thus,":[129],"it":[130],"outperforms":[131],"existing":[132],"scenarios,":[137],"as":[138],"show":[140],"simulation.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2018-06-01T00:00:00"}
