{"id":"https://openalex.org/W2765689934","doi":"https://doi.org/10.1109/tiv.2017.2769882","title":"Parking Trajectory Planning Using Multiresolution State Roadmaps","display_name":"Parking Trajectory Planning Using Multiresolution State Roadmaps","publication_year":2017,"publication_date":"2017-11-03","ids":{"openalex":"https://openalex.org/W2765689934","doi":"https://doi.org/10.1109/tiv.2017.2769882","mag":"2765689934"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2017.2769882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2017.2769882","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-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/A5010816124","display_name":"Yuichi Tazaki","orcid":"https://orcid.org/0000-0001-5087-6623"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichi Tazaki","raw_affiliation_strings":["Department of Mechanical Engineering, Kobe University, Kobe, Japan"],"raw_orcid":"https://orcid.org/0000-0001-5087-6623","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070852186","display_name":"Hiroyuki Okuda","orcid":"https://orcid.org/0000-0002-2910-4634"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Okuda","raw_affiliation_strings":["Department of Mechanical Systems Engineering, Nagoya University, Nagoya, Japan"],"raw_orcid":"https://orcid.org/0000-0002-2910-4634","affiliations":[{"raw_affiliation_string":"Department of Mechanical Systems Engineering, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079754847","display_name":"Tatsuya Suzuki","orcid":"https://orcid.org/0000-0002-0182-308X"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya Suzuki","raw_affiliation_strings":["Department of Mechanical Systems Engineering, Nagoya University, Nagoya, Japan"],"raw_orcid":"https://orcid.org/0000-0002-0182-308X","affiliations":[{"raw_affiliation_string":"Department of Mechanical Systems Engineering, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.5421,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.73476584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"2","issue":"4","first_page":"298","last_page":"307"},"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":0.9995999932289124,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/trajectory","display_name":"Trajectory","score":0.7282142639160156},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.71097332239151},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6456037759780884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6248009204864502},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5715057253837585},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5651878714561462},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5616590976715088},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.5017337799072266},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.45743802189826965},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.44801586866378784},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.44169676303863525},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4236920475959778},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36250361800193787},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34874412417411804},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.3323768675327301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2844638228416443},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.2394966185092926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1991952359676361},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.15622541308403015}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7282142639160156},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.71097332239151},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6456037759780884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6248009204864502},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5715057253837585},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5651878714561462},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5616590976715088},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.5017337799072266},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.45743802189826965},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.44801586866378784},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.44169676303863525},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4236920475959778},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36250361800193787},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34874412417411804},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.3323768675327301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2844638228416443},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2394966185092926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1991952359676361},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.15622541308403015},{"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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tiv.2017.2769882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2017.2769882","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.800000011920929,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2251793275","display_name":"Supervisory Driver Assistance Control and Its Verification","funder_award_id":"16H02353","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4108148091","display_name":"Outdoor Navigation System for Mobile Robots Utilizing Multi-resolution Maps","funder_award_id":"17K00363","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1965730439","https://openalex.org/W2032924574","https://openalex.org/W2044348504","https://openalex.org/W2057117474","https://openalex.org/W2070405474","https://openalex.org/W2089867857","https://openalex.org/W2098476269","https://openalex.org/W2098517398","https://openalex.org/W2106429501","https://openalex.org/W2108001795","https://openalex.org/W2113029345","https://openalex.org/W2113720629","https://openalex.org/W2129517546","https://openalex.org/W2129571831","https://openalex.org/W2156451341","https://openalex.org/W6668407442","https://openalex.org/W6674676010","https://openalex.org/W6682974150"],"related_works":["https://openalex.org/W2950170662","https://openalex.org/W2015961810","https://openalex.org/W3110652258","https://openalex.org/W2050548713","https://openalex.org/W2296012813","https://openalex.org/W3200041777","https://openalex.org/W1770067025","https://openalex.org/W2602324145","https://openalex.org/W4286888548","https://openalex.org/W3209174513"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,30,41,50,80],"trajectory":[4,83],"planning":[5],"method":[6,101],"for":[7],"automated":[8],"parking":[9,31,35,82],"that":[10],"makes":[11],"use":[12],"of":[13,29,34,43,67,85],"multiresolution":[14],"roadmaps.":[15],"The":[16,99],"proposed":[17,100],"roadmap":[18,51],"generation":[19],"algorithm":[20],"takes":[21],"as":[22],"an":[23],"input":[24],"manually":[25],"designed":[26],"geometric":[27,44],"information":[28],"lot":[32],"consisting":[33],"space":[36],"layout,":[37],"obstacle":[38],"configuration,":[39],"and":[40,75,88,108],"set":[42,66],"features":[45],"called":[46],"guidelines.":[47],"It":[48],"constructs":[49],"by":[52],"dividing":[53],"the":[54,65],"guidelines":[55],"in":[56,104],"multiple":[57],"resolutions":[58],"until":[59],"it":[60],"achieves":[61],"enough":[62],"coverage":[63],"over":[64],"safe":[68],"trajectories":[69],"satisfying":[70],"vehicle":[71],"kinematics,":[72],"curvature":[73],"limit,":[74],"collision-avoidance.":[76],"Using":[77],"this":[78],"roadmap,":[79],"complex":[81],"composed":[84],"both":[86,105],"forward":[87],"reverse":[89],"motions":[90],"can":[91],"be":[92],"computed":[93],"with":[94],"small":[95],"online":[96],"computation":[97],"cost.":[98],"is":[102],"evaluated":[103],"numerical":[106],"simulations":[107],"real":[109],"experiments.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
