{"id":"https://openalex.org/W2908947648","doi":"https://doi.org/10.1109/iros.2018.8593902","title":"Personal Mobility Vehicle Autonomous Navigation Through Pedestrian Flow: A Data Driven Approach for Parameter Extraction","display_name":"Personal Mobility Vehicle Autonomous Navigation Through Pedestrian Flow: A Data Driven Approach for Parameter Extraction","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2908947648","doi":"https://doi.org/10.1109/iros.2018.8593902","mag":"2908947648"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2018.8593902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8593902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5108556812","display_name":"Yoichi Morales","orcid":null},"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":true,"raw_author_name":"Yoichi Morales","raw_affiliation_strings":["Institute of Innovation for Future Society, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Innovation for Future Society, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049328132","display_name":"Naoki Akai","orcid":"https://orcid.org/0000-0002-4883-080X"},"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":"Naoki Akai","raw_affiliation_strings":["Institute of Innovation for Future Society, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Innovation for Future Society, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085309296","display_name":"Hiroshi Murase","orcid":"https://orcid.org/0000-0002-8103-9294"},"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":"Hiroshi Murase","raw_affiliation_strings":["Graduate School oF Information Science, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School oF Information Science, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108556812"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":1.2131,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.7976438,"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":"3438","last_page":"3444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9983999729156494,"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":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.8245804309844971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.644213080406189},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5302044153213501},{"id":"https://openalex.org/keywords/personal-mobility","display_name":"Personal mobility","score":0.5292555689811707},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5156511068344116},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.4855954051017761},{"id":"https://openalex.org/keywords/social-force-model","display_name":"Social force model","score":0.4755494296550751},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.47195401787757874},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4605521261692047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4360382556915283},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.42169812321662903},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34894365072250366},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24319982528686523},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.19287601113319397}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.8245804309844971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.644213080406189},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5302044153213501},{"id":"https://openalex.org/C2781361454","wikidata":"https://www.wikidata.org/wiki/Q7170607","display_name":"Personal mobility","level":2,"score":0.5292555689811707},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5156511068344116},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.4855954051017761},{"id":"https://openalex.org/C2779293179","wikidata":"https://www.wikidata.org/wiki/Q465266","display_name":"Social force model","level":3,"score":0.4755494296550751},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.47195401787757874},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4605521261692047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4360382556915283},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.42169812321662903},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34894365072250366},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24319982528686523},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.19287601113319397},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2018.8593902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8593902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1501521316","https://openalex.org/W1507667015","https://openalex.org/W1549076334","https://openalex.org/W1993643921","https://openalex.org/W1994714538","https://openalex.org/W2046213647","https://openalex.org/W2051410615","https://openalex.org/W2057134775","https://openalex.org/W2066955564","https://openalex.org/W2067589702","https://openalex.org/W2081529134","https://openalex.org/W2089584121","https://openalex.org/W2101821104","https://openalex.org/W2107338474","https://openalex.org/W2113286054","https://openalex.org/W2117211893","https://openalex.org/W2125409550","https://openalex.org/W2125535099","https://openalex.org/W2140561482","https://openalex.org/W2148961728","https://openalex.org/W2151498646","https://openalex.org/W2157936707","https://openalex.org/W2159408972","https://openalex.org/W2160379528","https://openalex.org/W2161372711","https://openalex.org/W2167052694","https://openalex.org/W2171331791","https://openalex.org/W2172055967","https://openalex.org/W2172133054","https://openalex.org/W2539912761","https://openalex.org/W2565402511","https://openalex.org/W2566180428","https://openalex.org/W2604216058","https://openalex.org/W2773355582","https://openalex.org/W2790644544","https://openalex.org/W2792692674","https://openalex.org/W2886776651","https://openalex.org/W3101207396","https://openalex.org/W4250696540","https://openalex.org/W6629780285","https://openalex.org/W6632876550"],"related_works":["https://openalex.org/W3141058977","https://openalex.org/W2011795602","https://openalex.org/W4385986026","https://openalex.org/W3147306508","https://openalex.org/W3199606900","https://openalex.org/W4388037223","https://openalex.org/W2367855113","https://openalex.org/W3145661592","https://openalex.org/W3120869690","https://openalex.org/W3024571439"],"abstract_inverted_index":{"In":[0,34],"this":[1],"paper":[2],"we":[3,112],"present":[4],"a":[5,16,35,102,114],"data":[6,40,97],"driven":[7],"approach":[8],"for":[9,78,106,123],"safe":[10,119],"and":[11,28,94,120,126,149],"smooth":[12,80,121],"autonomous":[13,110],"navigation":[14,111,122],"of":[15,37,74,101,141],"personal":[17],"mobility":[18],"vehicle":[19,63],"(PMV)":[20],"when":[21],"facing":[22,54,147],"moving":[23,90],"obstacles":[24],"such":[25],"as":[26],"people":[27],"bicycles":[29],"in":[30,49,131],"public":[31],"pedestrian":[32,133],"paths.":[33],"period":[36],"three":[38],"months,":[39],"from":[41],"five":[42],"different":[43],"persons":[44],"driving":[45],"the":[46,62,75,99,107,124,137],"robotic":[47],"PMV":[48,138],"an":[50,72],"outdoor":[51],"environment":[52],"while":[53,146],"pedestrians":[55,127,148],"were":[56,68],"collected.":[57,69],"2465":[58],"clean":[59],"tracks":[60],"around":[61],"together":[64],"with":[65],"PMVs":[66],"trajectories":[67],"We":[70],"performed":[71],"analysis":[73],"parameters":[76,83],"involved":[77],"human-driven":[79],"navigation.":[81],"Relevant":[82],"regarding":[84],"PMV-Human":[85],"interaction":[86],"included":[87],"distance":[88,105],"to":[89,117],"objects,":[91],"passing":[92],"side":[93],"velocities.":[95],"Moreover,":[96],"suggests":[98],"existence":[100],"social":[103],"navigational":[104],"PWv.":[108],"For":[109],"implemented":[113],"Frenet":[115],"planner":[116],"achieve":[118],"passenger":[125],"around.":[128],"Experimental":[129],"results":[130],"real":[132],"paths":[134],"show":[135],"that":[136],"is":[139],"capable":[140],"smoothly":[142],"following":[143],"its":[144],"path":[145],"bicycles.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}