{"id":"https://openalex.org/W2564575098","doi":"https://doi.org/10.1109/itsc.2016.7795598","title":"Adaptive and efficient lane change path planning for automated vehicles","display_name":"Adaptive and efficient lane change path planning for automated vehicles","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2564575098","doi":"https://doi.org/10.1109/itsc.2016.7795598","mag":"2564575098"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2016.7795598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795598","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/A5059778251","display_name":"Thomas Heil","orcid":"https://orcid.org/0000-0003-0013-7085"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Thomas Heil","raw_affiliation_strings":["Elektronische Fahrwerksysteme GmbH, Gaimersheim, Germany"],"affiliations":[{"raw_affiliation_string":"Elektronische Fahrwerksysteme GmbH, Gaimersheim, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101751419","display_name":"Alexander Lange","orcid":"https://orcid.org/0000-0001-9281-9678"},"institutions":[{"id":"https://openalex.org/I1322300227","display_name":"Audi (Germany)","ror":"https://ror.org/02aykj333","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322300227"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Lange","raw_affiliation_strings":["AUDI AG, Ingolstadt, Germany"],"affiliations":[{"raw_affiliation_string":"AUDI AG, Ingolstadt, Germany","institution_ids":["https://openalex.org/I1322300227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028479751","display_name":"Stephanie Cramer","orcid":"https://orcid.org/0000-0002-5080-0300"},"institutions":[{"id":"https://openalex.org/I1322300227","display_name":"Audi (Germany)","ror":"https://ror.org/02aykj333","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322300227"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephanie Cramer","raw_affiliation_strings":["AUDI AG, Ingolstadt, Germany"],"affiliations":[{"raw_affiliation_string":"AUDI AG, Ingolstadt, Germany","institution_ids":["https://openalex.org/I1322300227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059778251"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.835,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.81371776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"479","last_page":"484"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9933000206947327,"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/acceleration","display_name":"Acceleration","score":0.7988825440406799},{"id":"https://openalex.org/keywords/jerk","display_name":"Jerk","score":0.7548923492431641},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.7037733793258667},{"id":"https://openalex.org/keywords/quintic-function","display_name":"Quintic function","score":0.6779012680053711},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6196411848068237},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5678844451904297},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5421411395072937},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.48273250460624695},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.468900591135025},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3809206485748291},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.35335326194763184},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33781296014785767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2903587222099304},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2439613938331604},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18226170539855957},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1262877881526947},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.06450724601745605}],"concepts":[{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.7988825440406799},{"id":"https://openalex.org/C181605269","wikidata":"https://www.wikidata.org/wiki/Q497332","display_name":"Jerk","level":3,"score":0.7548923492431641},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.7037733793258667},{"id":"https://openalex.org/C124966035","wikidata":"https://www.wikidata.org/wiki/Q33104507","display_name":"Quintic function","level":3,"score":0.6779012680053711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6196411848068237},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5678844451904297},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5421411395072937},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.48273250460624695},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.468900591135025},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3809206485748291},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.35335326194763184},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33781296014785767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2903587222099304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2439613938331604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18226170539855957},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1262877881526947},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.06450724601745605},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2016.7795598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795598","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":[{"display_name":"Sustainable cities and communities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1552815313","https://openalex.org/W1976201601","https://openalex.org/W2056045010","https://openalex.org/W2060075193","https://openalex.org/W2091307069","https://openalex.org/W2107338474","https://openalex.org/W2134765105","https://openalex.org/W2743387883","https://openalex.org/W3083764925","https://openalex.org/W4249261707","https://openalex.org/W6742545209"],"related_works":["https://openalex.org/W2376623953","https://openalex.org/W2352897580","https://openalex.org/W2118664347","https://openalex.org/W2348411017","https://openalex.org/W3049304016","https://openalex.org/W1977630140","https://openalex.org/W2019544916","https://openalex.org/W2093995589","https://openalex.org/W2513330233","https://openalex.org/W2568861134"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"a":[3,52,75],"path":[4,19],"planning":[5,20],"concept":[6,53],"for":[7,18,54],"automated":[8],"driving.":[9],"It":[10],"builds":[11],"upon":[12],"existing":[13],"approaches":[14],"using":[15],"quintic":[16,37],"polynomials":[17],"in":[21,67,74],"structured":[22],"environments.":[23],"The":[24,62],"contribution":[25],"of":[26,36,69],"this":[27],"work":[28],"are":[29,65],"analytical":[30],"solutions":[31],"to":[32],"evaluate":[33],"selected":[34],"properties":[35],"polynomial":[38],"based":[39],"paths":[40],"such":[41],"as":[42],"maximum":[43],"acceleration":[44],"and":[45,72],"jerk":[46],"or":[47],"overshooting":[48],"behavior.":[49],"In":[50],"addition,":[51],"generating":[55],"asymmetrical":[56],"lane":[57],"change":[58],"trajectories":[59],"is":[60],"proposed.":[61],"presented":[63],"concepts":[64],"evaluated":[66],"terms":[68],"computational":[70],"costs":[71],"applicability":[73],"real":[76],"test":[77],"vehicle.":[78]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
