{"id":"https://openalex.org/W4402262064","doi":"https://doi.org/10.23919/acc60939.2024.10644217","title":"On XYZ-Motion Planning Using a Full Car Model","display_name":"On XYZ-Motion Planning Using a Full Car Model","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4402262064","doi":"https://doi.org/10.23919/acc60939.2024.10644217"},"language":"en","primary_location":{"id":"doi:10.23919/acc60939.2024.10644217","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/acc60939.2024.10644217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 American Control Conference (ACC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103862149","display_name":"Sayan Chakraborty","orcid":"https://orcid.org/0000-0002-8638-4652"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sayan Chakraborty","raw_affiliation_strings":["CAN Lab, New York University,Brooklyn,NY,USA,11201"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAN Lab, New York University,Brooklyn,NY,USA,11201","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602833","display_name":"Jiang Yu","orcid":"https://orcid.org/0000-0003-1909-4978"},"institutions":[{"id":"https://openalex.org/I4210101284","display_name":"ClearMotion (United States)","ror":"https://ror.org/016kk7667","country_code":"US","type":"company","lineage":["https://openalex.org/I4210101284"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Jiang","raw_affiliation_strings":["ClearMotion,Billerica,MA,01821"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ClearMotion,Billerica,MA,01821","institution_ids":["https://openalex.org/I4210101284"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067046312","display_name":"Zhong\u2010Ping Jiang","orcid":"https://orcid.org/0000-0002-4868-9359"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhong-Ping Jiang","raw_affiliation_strings":["CAN Lab, New York University,Brooklyn,NY,USA,11201"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAN Lab, New York University,Brooklyn,NY,USA,11201","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"245","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":1.0,"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":1.0,"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/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.9986000061035156,"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/T11615","display_name":"Control and Dynamics of Mobile Robots","score":0.9984999895095825,"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":0.6143874526023865},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4604530930519104},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.45020854473114014},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3766542673110962},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3485184609889984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32805225253105164},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.09299030900001526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6143874526023865},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4604530930519104},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.45020854473114014},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3766542673110962},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3485184609889984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32805225253105164},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.09299030900001526}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc60939.2024.10644217","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/acc60939.2024.10644217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2191859956","display_name":null,"funder_award_id":"CNS-2148309,CPS-2227153","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1485405173","https://openalex.org/W1514191729","https://openalex.org/W2005354226","https://openalex.org/W2071789836","https://openalex.org/W2134765105","https://openalex.org/W2136445059","https://openalex.org/W2144156622","https://openalex.org/W2153284231","https://openalex.org/W2163590332","https://openalex.org/W2259612801","https://openalex.org/W2306644740","https://openalex.org/W2334947975","https://openalex.org/W2343568200","https://openalex.org/W2510239027","https://openalex.org/W2567267560","https://openalex.org/W2946231253","https://openalex.org/W2973804567","https://openalex.org/W4382935694"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"XYZ-motion":[3,78],"planning":[4],"using":[5,133],"a":[6,23,51,63,69,119],"full":[7,70],"car":[8,71],"model":[9,72],"with":[10],"active":[11],"suspension":[12],"components.":[13],"The":[14,39],"proposed":[15,149],"approach":[16],"involves":[17],"harnessing":[18],"perception":[19],"data":[20,140],"to":[21,75,91,114,143],"create":[22],"two-tier":[24],"representation":[25],"of":[26,31,59,147],"the":[27,32,36,47,57,60,85,104,109,145,148],"road":[28,34,41,44,49,53,106,138],"surface,":[29],"consisting":[30],"encoded":[33,40],"and":[35,123,136],"estimated":[37,48,61],"road.":[38],"isolates":[42],"specific":[43],"events,":[45],"while":[46],"provides":[50],"holistic":[52],"profile.":[54,127],"Leveraging":[55],"on":[56],"information":[58,102],"road,":[62],"generic":[64],"nonlinear":[65],"optimization":[66,86],"problem":[67,87],"involving":[68],"is":[73,88,98,112],"formulated":[74],"craft":[76],"an":[77,96,116,124],"plan.":[79],"To":[80],"ensure":[81],"practical":[82],"in-vehicle":[83],"implementation,":[84],"decomposed":[89],"into":[90],"two":[92],"distinct":[93],"phases.":[94],"First,":[95],"XY-path":[97,111],"optimized":[99],"by":[100,132],"leveraging":[101],"from":[103],"isolated":[105],"events.":[107],"Second,":[108],"generated":[110],"used":[113],"devise":[115],"XYZ-trajectory,":[117],"including":[118],"vertical":[120],"motion":[121],"plan":[122],"optimal":[125],"speed":[126],"Finally,":[128],"numerical":[129],"results":[130],"obtained":[131],"both":[134],"synthetic":[135],"real-world":[137],"surface":[139],"are":[141],"provided":[142],"illustrate":[144],"effectiveness":[146],"methodology.":[150]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}