{"id":"https://openalex.org/W3215032891","doi":"https://doi.org/10.1109/tits.2021.3127539","title":"Multi-PPTP: Multiple Probabilistic Pedestrian Trajectory Prediction in the Complex Junction Scene","display_name":"Multi-PPTP: Multiple Probabilistic Pedestrian Trajectory Prediction in the Complex Junction Scene","publication_year":2021,"publication_date":"2021-11-18","ids":{"openalex":"https://openalex.org/W3215032891","doi":"https://doi.org/10.1109/tits.2021.3127539","mag":"3215032891"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2021.3127539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2021.3127539","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transportation Systems","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/A5083033930","display_name":"Linhui Li","orcid":"https://orcid.org/0000-0002-2667-8800"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linhui Li","raw_affiliation_strings":["School of Automotive Engineering and the Key Laboratory of Energy Conservation and New Energy Vehicle Power Control and Vehicle Technology, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive Engineering and the Key Laboratory of Energy Conservation and New Energy Vehicle Power Control and Vehicle Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049016575","display_name":"Bin Zhou","orcid":"https://orcid.org/0000-0002-1141-5557"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhou","raw_affiliation_strings":["School of Automotive Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065447538","display_name":"Jing Lian","orcid":"https://orcid.org/0000-0002-2095-5563"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Lian","raw_affiliation_strings":["School of Automotive Engineering and the Key Laboratory of Energy Conservation and New Energy Vehicle Power Control and Vehicle Technology, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive Engineering and the Key Laboratory of Energy Conservation and New Energy Vehicle Power Control and Vehicle Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101428348","display_name":"Xuecheng Wang","orcid":"https://orcid.org/0000-0002-0384-7341"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuecheng Wang","raw_affiliation_strings":["School of Automotive Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047249127","display_name":"Yafu Zhou","orcid":"https://orcid.org/0000-0001-6985-2189"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafu Zhou","raw_affiliation_strings":["School of Automotive Engineering and the Key Laboratory of Energy Conservation and New Energy Vehicle Power Control and Vehicle Technology, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive Engineering and the Key Laboratory of Energy Conservation and New Energy Vehicle Power Control and Vehicle Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5083033930"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.3666,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.60112977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"23","issue":"8","first_page":"13758","last_page":"13768"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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/T10370","display_name":"Traffic and Road Safety","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.8027441501617432},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.741554856300354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7130140066146851},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6111560463905334},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.60025954246521},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5123471021652222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47499457001686096},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.46704167127609253},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.431530624628067},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15439292788505554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10014063119888306}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8027441501617432},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.741554856300354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7130140066146851},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6111560463905334},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.60025954246521},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5123471021652222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47499457001686096},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.46704167127609253},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.431530624628067},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15439292788505554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10014063119888306},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2021.3127539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2021.3127539","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G2313884243","display_name":null,"funder_award_id":"61976039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2466174857","display_name":null,"funder_award_id":"52172382","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2629349088","display_name":null,"funder_award_id":"51775082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G365598970","display_name":null,"funder_award_id":"DUT20GJ207","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1522301498","https://openalex.org/W1959608418","https://openalex.org/W2064675550","https://openalex.org/W2089584121","https://openalex.org/W2099471712","https://openalex.org/W2142125366","https://openalex.org/W2286744228","https://openalex.org/W2395611524","https://openalex.org/W2424778531","https://openalex.org/W2766836212","https://openalex.org/W2905173465","https://openalex.org/W2911273949","https://openalex.org/W2951870359","https://openalex.org/W2962687116","https://openalex.org/W2963001155","https://openalex.org/W2963759562","https://openalex.org/W2967177252","https://openalex.org/W2967781079","https://openalex.org/W2982745079","https://openalex.org/W2990045899","https://openalex.org/W3005466731","https://openalex.org/W3028769608","https://openalex.org/W3033920763","https://openalex.org/W3035096461","https://openalex.org/W3035574168","https://openalex.org/W3106257603","https://openalex.org/W3114948913","https://openalex.org/W3130935189","https://openalex.org/W3139491754","https://openalex.org/W3208246861","https://openalex.org/W4288287716","https://openalex.org/W4297733535","https://openalex.org/W4300830895","https://openalex.org/W6618372016","https://openalex.org/W6630875275","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6681524755","https://openalex.org/W6682137061","https://openalex.org/W6739901393","https://openalex.org/W6740217080","https://openalex.org/W6745537798","https://openalex.org/W6760782946","https://openalex.org/W6765361892","https://openalex.org/W6769043036","https://openalex.org/W6773891016","https://openalex.org/W6778962259"],"related_works":["https://openalex.org/W2367855113","https://openalex.org/W4309296557","https://openalex.org/W2621265795","https://openalex.org/W4290792893","https://openalex.org/W2748454020","https://openalex.org/W3128397692","https://openalex.org/W3119610945","https://openalex.org/W3181746755","https://openalex.org/W3016958897","https://openalex.org/W2024392609"],"abstract_inverted_index":{"Pedestrian":[0],"trajectory":[1,22,48],"prediction":[2,49],"in":[3,13],"dynamic,":[4],"multi-agent":[5],"traffic":[6,82],"junction":[7],"scene":[8],"is":[9,32],"an":[10],"important":[11],"problem":[12],"the":[14,21,24,27,60,115,157,164],"context":[15],"of":[16,23,33,65,134,143],"self-driving":[17],"cars.":[18],"Accurately":[19],"predicting":[20],"agent,":[25],"especially":[26],"pedestrian":[28,145],"with":[29],"high":[30,116],"randomness,":[31],"great":[34],"significance":[35],"to":[36,58,92,102,113,138,156],"autonomous":[37],"driving":[38],"technology.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43,129],"propose":[44,131],"Multi-PPTP,":[45],"a":[46,54,132],"novel":[47],"model":[50,59],"that":[51],"first":[52],"utilizes":[53],"composite":[55],"rasterized":[56],"map":[57],"complex":[61],"representations":[62],"and":[63,74,76,84,90,100,107,124,154,172],"interactions":[64,117],"road":[66,78],"components,":[67],"including":[68],"dynamic":[69],"obstacles":[70],"(e.g.,":[71,80],"pedestrians,":[72],"vehicles,":[73],"cyclists)":[75],"static":[77],"information":[79],"lanes,":[81],"lights,":[83],"sidewalks).":[85],"Then":[86],"it":[87],"uses":[88],"MapNet":[89],"AgentNet":[91],"extract":[93],"spatio-temporal":[94],"features":[95,112],"by":[96,121],"deep":[97],"convolutional":[98],"networks":[99],"LSTM":[101],"automatically":[103],"derive":[104],"relevant":[105],"features,":[106],"next":[108],"exploits":[109],"Interaction-AttNet":[110],"aggregate":[111],"learn":[114],"among":[118],"all":[119],"components":[120],"affine":[122],"transformation":[123],"multi-head":[125],"attention":[126],"mechanism.":[127],"Additionally,":[128],"also":[130],"series":[133],"unique":[135],"loss":[136],"functions":[137],"predict":[139],"multiple":[140],"possible":[141],"trajectories":[142],"each":[144],"while":[146],"estimating":[147],"their":[148],"probabilities.":[149],"Following":[150],"extensive":[151],"offline":[152],"evaluation":[153],"comparison":[155],"state-of-the-art":[158,165],"models,":[159],"our":[160,168],"approach":[161],"outperforms":[162],"significantly":[163],"models":[166],"on":[167],"large":[169],"scale":[170],"in-house":[171],"public":[173],"nuScenes":[174],"dataset.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
