{"id":"https://openalex.org/W4292994069","doi":"https://doi.org/10.1109/tits.2022.3193442","title":"BR-GAN: A Pedestrian Trajectory Prediction Model Combined With Behavior Recognition","display_name":"BR-GAN: A Pedestrian Trajectory Prediction Model Combined With Behavior Recognition","publication_year":2022,"publication_date":"2022-08-05","ids":{"openalex":"https://openalex.org/W4292994069","doi":"https://doi.org/10.1109/tits.2022.3193442"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3193442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3193442","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/A5037819670","display_name":"Shu Min Pang","orcid":"https://orcid.org/0000-0003-1279-1308"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Min Pang","raw_affiliation_strings":["School of Mathematical Sciences, Inner Mongolia University, Hohhot, China"],"raw_orcid":"https://orcid.org/0000-0003-1279-1308","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101837796","display_name":"Jin Xin Cao","orcid":"https://orcid.org/0000-0001-5768-8190"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Xin Cao","raw_affiliation_strings":["School of Mathematical Sciences, Inner Mongolia University, Hohhot, China","Institute of Transportation Engineering, Inner Mongolia University, Hohhot, China"],"raw_orcid":"https://orcid.org/0000-0001-5768-8190","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Institute of Transportation Engineering, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001061109","display_name":"Mei Ying Jian","orcid":null},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Ying Jian","raw_affiliation_strings":["Institute of Transportation Engineering, Inner Mongolia University, Hohhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Transportation Engineering, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015170424","display_name":"Jian Lai","orcid":"https://orcid.org/0000-0002-5899-4832"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Lai","raw_affiliation_strings":["School of Electronic and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003059286","display_name":"Zhenying Yan","orcid":"https://orcid.org/0000-0002-8105-4697"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhen Ying Yan","raw_affiliation_strings":["Inner Mongolia Academy of Science and Technology, Hohhot, China"],"raw_orcid":"https://orcid.org/0000-0002-8105-4697","affiliations":[{"raw_affiliation_string":"Inner Mongolia Academy of Science and Technology, Hohhot, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0384,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.86091743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"23","issue":"12","first_page":"24609","last_page":"24620"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8612608313560486},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.8148555159568787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7056515216827393},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6974920034408569},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5673633813858032},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5271520018577576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4906405508518219},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4855925440788269},{"id":"https://openalex.org/keywords/interaction-information","display_name":"Interaction information","score":0.47713184356689453},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4276520609855652},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41809701919555664},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3466678857803345},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11455246806144714},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10533708333969116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08921012282371521},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.08152547478675842}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8612608313560486},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.8148555159568787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7056515216827393},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6974920034408569},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5673633813858032},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5271520018577576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4906405508518219},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4855925440788269},{"id":"https://openalex.org/C38764148","wikidata":"https://www.wikidata.org/wiki/Q17098245","display_name":"Interaction information","level":2,"score":0.47713184356689453},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4276520609855652},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41809701919555664},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3466678857803345},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11455246806144714},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10533708333969116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08921012282371521},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.08152547478675842},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3193442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3193442","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/10","display_name":"Reduced inequalities","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G2854641178","display_name":"\u9ad8\u901f\u94c1\u8def\u52a8\u6001\u5b9a\u4ef7\u4e0e\u5e2d\u4f4d\u63a7\u5236\u7684\u8054\u5408\u51b3\u7b56\u4f18\u5316\u7814\u7a76","funder_award_id":"72061028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G353040304","display_name":null,"funder_award_id":"72161032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4651999657","display_name":"\u4e0d\u786e\u5b9a\u6761\u4ef6\u4e0b\u7684\u751f\u7269\u8d28\u8d44\u6e90\u7269\u6d41\u7cfb\u7edf\u6574\u5408\u4f18\u5316\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"71961024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1522301498","https://openalex.org/W1571268436","https://openalex.org/W1686810756","https://openalex.org/W1970206276","https://openalex.org/W2004641798","https://openalex.org/W2004815690","https://openalex.org/W2096166026","https://openalex.org/W2101415982","https://openalex.org/W2103618108","https://openalex.org/W2158539027","https://openalex.org/W2167052694","https://openalex.org/W2331138946","https://openalex.org/W2424778531","https://openalex.org/W2750823073","https://openalex.org/W2766836212","https://openalex.org/W2769282630","https://openalex.org/W2799059904","https://openalex.org/W2801667201","https://openalex.org/W2886483202","https://openalex.org/W2940129212","https://openalex.org/W2951870359","https://openalex.org/W2962687116","https://openalex.org/W2963001155","https://openalex.org/W2963353290","https://openalex.org/W2963818059","https://openalex.org/W2964079724","https://openalex.org/W2964230007","https://openalex.org/W2970989527","https://openalex.org/W2991212029","https://openalex.org/W3003984308","https://openalex.org/W3004201988","https://openalex.org/W3011742000","https://openalex.org/W3012055358","https://openalex.org/W3112608155","https://openalex.org/W3164282918","https://openalex.org/W4293584584","https://openalex.org/W4297813064","https://openalex.org/W4320013936","https://openalex.org/W6630875275","https://openalex.org/W6631190155","https://openalex.org/W6634116786","https://openalex.org/W6637373629","https://openalex.org/W6750227808","https://openalex.org/W6752289221","https://openalex.org/W6753653501","https://openalex.org/W6759079449"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W3122828758","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W1976827262","https://openalex.org/W49697837","https://openalex.org/W4205958986","https://openalex.org/W2903025760","https://openalex.org/W4323659947"],"abstract_inverted_index":{"Pedestrian":[0],"trajectory":[1,21,52,75,136],"prediction":[2,22,137],"is":[3],"a":[4,31,91,131,135],"crucial":[5],"task":[6],"for":[7],"many":[8],"domains,":[9],"such":[10],"as":[11,141],"self-driving,":[12],"navigation":[13],"robots":[14],"and":[15,40,58,106,117,148],"video":[16],"surveillance.":[17],"The":[18,151],"performance":[19],"of":[20,50,85,108,158,170],"can":[23],"be":[24],"improved":[25],"in":[26,65,156],"various":[27],"patterns,":[28],"including":[29],"using":[30],"more":[32,36],"effective":[33],"network,":[34],"considering":[35],"complicated":[37],"social":[38,60,147],"interactions,":[39],"utilizing":[41],"sufficient":[42],"information.":[43,101,129],"On":[44,69],"the":[45,48,55,59,66,70,73,83,104,113,115,118,124,142,159],"one":[46],"hand,":[47,72],"change":[49],"subsequent":[51,74],"depends":[53],"on":[54,123,172],"geographical":[56],"scene":[57],"interaction":[61],"with":[62,163],"other":[63,71],"pedestrians":[64],"same":[67],"scene.":[68],"also":[76],"makes":[77],"some":[78,164],"real-time":[79],"adjustments":[80],"according":[81],"to":[82,96,127,140],"judgment":[84],"pedestrian":[86,99],"behavior.":[87],"Therefore,":[88],"we":[89,133],"propose":[90],"novel":[92],"behavior":[93,100,149],"recognition":[94],"module":[95],"obtain":[97],"extra":[98],"To":[102],"guarantee":[103],"precision":[105],"diversity":[107],"prediction,":[109],"this":[110],"paper":[111],"builds":[112],"Geographical,":[114],"Social":[116],"Behavior":[119],"feature":[120],"modules":[121],"based":[122],"GAN":[125],"framework":[126],"process":[128],"As":[130],"result,":[132],"present":[134],"approach,":[138],"referred":[139],"BR-GAN,":[143],"which":[144],"exploits":[145],"geographical,":[146],"context-aware.":[150],"BR-GAN":[152],"achieves":[153],"greater":[154],"accuracy":[155],"parts":[157],"ETH/UCY":[160],"datasets":[161],"compared":[162],"baselines.":[165],"We":[166],"will":[167],"republic":[168],"all":[169],"them":[171],"<uri":[173],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[174],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/HITjian/Pedestrian-trajectoty-prediction-based-on-behavior-recognition</uri>":[175],".":[176]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}