{"id":"https://openalex.org/W2561432806","doi":"https://doi.org/10.1109/itsc.2016.7795679","title":"A generic driving strategy for urban environments","display_name":"A generic driving strategy for urban environments","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2561432806","doi":"https://doi.org/10.1109/itsc.2016.7795679","mag":"2561432806"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2016.7795679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","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/A5033123476","display_name":"Constantin Hubmann","orcid":"https://orcid.org/0000-0002-3727-2013"},"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":true,"raw_author_name":"Constantin Hubmann","raw_affiliation_strings":["BMW Research and Technology, Institute for Control Theory, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"BMW Research and Technology, Institute for Control Theory, Karlsruhe, Germany","institution_ids":["https://openalex.org/I1283382300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080471614","display_name":"Michael Aeberhard","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":"Michael Aeberhard","raw_affiliation_strings":["BMW Research and Technology, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"BMW Research and Technology, Munich, Germany","institution_ids":["https://openalex.org/I1283382300"]}]},{"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/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 Stiller","raw_affiliation_strings":["BMW Research and Technology, Institute for Control Theory, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"BMW Research and Technology, Institute for Control Theory, Karlsruhe, Germany","institution_ids":["https://openalex.org/I1283382300"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033123476"],"corresponding_institution_ids":["https://openalex.org/I1283382300"],"apc_list":null,"apc_paid":null,"fwci":2.3381,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.92629265,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1010","last_page":"1016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998999834060669,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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":0.9782999753952026,"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/computer-science","display_name":"Computer science","score":0.7259424328804016},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6374359726905823},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6098337173461914},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.526443362236023},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.4828953742980957},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.4688357412815094},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.450907826423645},{"id":"https://openalex.org/keywords/scenario-testing","display_name":"Scenario testing","score":0.4283216595649719},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4180905222892761},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.4131716787815094},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3756742477416992},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2593943476676941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20423835515975952},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1814223825931549},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16275057196617126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08048304915428162},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.0792953372001648}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7259424328804016},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6374359726905823},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6098337173461914},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.526443362236023},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4828953742980957},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.4688357412815094},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.450907826423645},{"id":"https://openalex.org/C80519477","wikidata":"https://www.wikidata.org/wiki/Q3532236","display_name":"Scenario testing","level":3,"score":0.4283216595649719},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4180905222892761},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.4131716787815094},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3756742477416992},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2593943476676941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20423835515975952},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1814223825931549},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16275057196617126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08048304915428162},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0792953372001648},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2016.7795679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8299999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1504992226","https://openalex.org/W1568248713","https://openalex.org/W1917042220","https://openalex.org/W1923812657","https://openalex.org/W1968004977","https://openalex.org/W1998277720","https://openalex.org/W2004815408","https://openalex.org/W2032924574","https://openalex.org/W2041175196","https://openalex.org/W2045531847","https://openalex.org/W2054384634","https://openalex.org/W2058136243","https://openalex.org/W2087366641","https://openalex.org/W2107338474","https://openalex.org/W2108250446","https://openalex.org/W2119360047","https://openalex.org/W2122410182","https://openalex.org/W2131780818","https://openalex.org/W2144293566","https://openalex.org/W2148361676","https://openalex.org/W2154326475","https://openalex.org/W2306644740","https://openalex.org/W2406067508","https://openalex.org/W2505763307","https://openalex.org/W2611243847","https://openalex.org/W4249261707","https://openalex.org/W4297888977","https://openalex.org/W6645350605","https://openalex.org/W6664354803","https://openalex.org/W6676358908"],"related_works":["https://openalex.org/W2789518417","https://openalex.org/W2566545183","https://openalex.org/W2059085722","https://openalex.org/W4213217485","https://openalex.org/W4226187511","https://openalex.org/W4210856988","https://openalex.org/W2946721565","https://openalex.org/W2801976440","https://openalex.org/W2726779001","https://openalex.org/W4247769635"],"abstract_inverted_index":{"Autonomous":[0],"driving":[1,42,120],"in":[2,170],"urban":[3],"environments":[4],"depends":[5],"on":[6,167,176,180],"the":[7,11,29,80,84,126,129,181],"ability":[8],"to":[9,15,20,101,111],"interpret":[10],"current":[12],"situation":[13,78],"and":[14,34,69,156,175],"react":[16],"accordingly.":[17],"This":[18,36,87],"means":[19],"continuously":[21],"make":[22],"decisions":[23],"for":[24,55,149],"certain":[25],"comfort-optimized":[26],"maneuvers":[27,117],"under":[28],"constraints":[30],"of":[31,51,59,75,83,92,108,116,131,135,146,153,160],"traffic":[32],"rules":[33],"feasibility.":[35],"work":[37],"presents":[38],"a":[39,46,56,103,112,143,150,168,171,177],"novel,":[40],"longitudinal":[41],"strategy":[43],"formulated":[44],"as":[45,99,118],"discrete":[47],"planning":[48,151],"problem.":[49],"Instead":[50,107],"designing":[52],"an":[53,132],"algorithm":[54,127,141],"single":[57],"one":[58],"various":[60],"potential":[61],"subproblems,":[62],"two":[63],"interfaces":[64],"are":[65,73,97],"presented,":[66],"called":[67],"static":[68],"dynamic":[70],"events,":[71],"that":[72],"capable":[74,159],"representing":[76],"any":[77],"along":[79],"chosen":[81],"lane":[82],"autonomous":[85],"vehicle.":[86],"allows":[88],"fast,":[89],"analytic":[90],"calculation":[91],"Inevitable":[93],"Collision":[94],"States":[95],"which":[96],"used":[98],"heuristic":[100],"realize":[102],"guided":[104],"A*":[105],"search.":[106],"being":[109],"limited":[110],"small,":[113],"finite":[114],"set":[115],"rule-based":[119],"strategies":[121],"like":[122],"state":[123],"machines":[124],"are,":[125],"selects":[128],"optimal":[130],"infinite":[133],"number":[134],"possible,":[136],"implicit":[137],"maneuvers.":[138],"The":[139,163],"presented":[140],"has":[142],"worst-case":[144],"runtime":[145],"80":[147],"ms":[148],"horizon":[152],"13":[154],"seconds":[155],"is":[157,165],"therefore":[158],"running":[161],"online.":[162],"approach":[164],"evaluated":[166],"simulator":[169],"complex":[172],"city":[173],"scenario":[174],"prototype":[178],"vehicle":[179],"test":[182],"track.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
