{"id":"https://openalex.org/W4388430534","doi":"https://doi.org/10.1109/access.2023.3330376","title":"Pedestrian Trajectory Prediction Based on SOPD-GAN Used for the Trajectory Planning and Motion Control of Mobile Robot","display_name":"Pedestrian Trajectory Prediction Based on SOPD-GAN Used for the Trajectory Planning and Motion Control of Mobile Robot","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388430534","doi":"https://doi.org/10.1109/access.2023.3330376"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3330376","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10309117.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10309117.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109653363","display_name":"Hao Li","orcid":"https://orcid.org/0009-0002-0235-5369"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086399450","display_name":"Donghai Qian","orcid":"https://orcid.org/0009-0005-8251-7904"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong-Hai Qian","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030861980","display_name":"Guangyin Liu","orcid":"https://orcid.org/0000-0002-9167-0012"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang-Yin Liu","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026347937","display_name":"Ze Cui","orcid":"https://orcid.org/0000-0001-6908-1580"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Cui","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020331027","display_name":"Jingtao Lei","orcid":"https://orcid.org/0000-0003-0575-7611"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing-Tao Lei","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"fwci":0.0,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":68},"biblio":{"volume":"11","issue":null,"first_page":"131376","last_page":"131393"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety Systems","score":0.9999,"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 Systems","score":0.9999,"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":"Visual Object Tracking and Person Re-identification","score":0.9982,"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 in High-Dimensional Data","score":0.9939,"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-prediction","display_name":"Trajectory Prediction","score":0.584185},{"id":"https://openalex.org/keywords/pedestrian-behavior","display_name":"Pedestrian Behavior","score":0.576863},{"id":"https://openalex.org/keywords/pedestrian-dynamics","display_name":"Pedestrian Dynamics","score":0.576671},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion Detection","score":0.557196},{"id":"https://openalex.org/keywords/multiple-object-tracking","display_name":"Multiple Object Tracking","score":0.550497}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.84094644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.69461346},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.69307727},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.60746646},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5679675},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.52796495},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5105949},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48555848},{"id":"https://openalex.org/C145565327","wikidata":"https://www.wikidata.org/wiki/Q852514","display_name":"Motion control","level":3,"score":0.46632344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44388008},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13338885},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.081813395},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.052032888},{"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":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3330376","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10309117.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3330376","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10309117.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.73}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"51775323"}],"datasets":[],"versions":[],"referenced_works_count":38,"referenced_works":["https://openalex.org/W1605491546","https://openalex.org/W1953284601","https://openalex.org/W2006779554","https://openalex.org/W2016354864","https://openalex.org/W2103873528","https://openalex.org/W2143612262","https://openalex.org/W2424778531","https://openalex.org/W2582272267","https://openalex.org/W2614459600","https://openalex.org/W2883275886","https://openalex.org/W2883602772","https://openalex.org/W2903392866","https://openalex.org/W2963001155","https://openalex.org/W2970703417","https://openalex.org/W2990799876","https://openalex.org/W3005640215","https://openalex.org/W3006091659","https://openalex.org/W3015551381","https://openalex.org/W3090823262","https://openalex.org/W3104079458","https://openalex.org/W3106199031","https://openalex.org/W3117630906","https://openalex.org/W3122963563","https://openalex.org/W3135067555","https://openalex.org/W3137581968","https://openalex.org/W3176606713","https://openalex.org/W3178384248","https://openalex.org/W3180130487","https://openalex.org/W3201163625","https://openalex.org/W3213801837","https://openalex.org/W4200076741","https://openalex.org/W4210874699","https://openalex.org/W4220987435","https://openalex.org/W4283745168","https://openalex.org/W4292387160","https://openalex.org/W4312457082","https://openalex.org/W4383748498","https://openalex.org/W4385444698"],"related_works":["https://openalex.org/W4292862729","https://openalex.org/W3158921809","https://openalex.org/W2618632915","https://openalex.org/W2170661558","https://openalex.org/W2161428574","https://openalex.org/W2150982344","https://openalex.org/W2077416514","https://openalex.org/W1980828932","https://openalex.org/W1972453571","https://openalex.org/W1904098742"],"abstract_inverted_index":{"Recent":[0],"developments":[1],"in":[2,38,102,189,209],"the":[3,12,23,28,44,58,65,92,123,131,151,201,214],"field":[4],"of":[5,25,30,61,67,94,127,133,156,203],"robotics":[6],"have":[7],"led":[8],"to":[9,34,47,56,85,149,171,199],"discussions":[10],"surrounding":[11],"human-robot":[13],"coexistence":[14],"environments":[15],"including":[16],"homes":[17],"and":[18,81,129,144,212],"modern":[19],"factories.":[20],"Focusing":[21],"on":[22,78,97,193],"application":[24],"mobile":[26],"robots,":[27],"focus":[29],"this":[31,103,157,223],"research":[32],"is":[33,54,114,159,169],"enhance":[35],"their":[36,69],"performance":[37],"dynamic":[39,181,190,237],"scenarios.":[40],"To":[41],"effectively":[42],"plan":[43],"robot's":[45],"path":[46,187],"avoid":[48],"pedestrians,":[49,62],"a":[50,105,163,227],"machine":[51],"learning":[52],"algorithm":[53],"employed":[55],"predict":[57,86],"future":[59,87,124],"trajectory":[60,140,195],"thus":[63],"improving":[64],"accuracy":[66],"forecasting":[68],"multi-modal":[70],"motion.":[71],"The":[72,116,154,219],"existing":[73,217],"prediction":[74,229],"methods":[75],"primarily":[76],"rely":[77],"pedestrian":[79,98,138,194],"history":[80],"current":[82],"movement":[83,99,125],"attributes":[84],"movement,":[88],"they":[89],"often":[90],"overlook":[91],"impact":[93],"static":[95,106,117],"obstacles":[96,107,118],"decision.":[100],"Therefore,":[101],"study,":[104],"probability":[108,119],"description":[109,120],"generative":[110,164],"adversarial":[111,165],"network":[112,166],"(SOPD-GAN)":[113],"proposed.":[115],"(SOPD)":[121],"represents":[122],"space":[126],"pedestrians":[128],"assesses":[130],"likelihood":[132],"entry.":[134],"Additionally,":[135],"we":[136,176,206],"incorporate":[137],"historical":[139],"information":[141],"using":[142,162],"LSTM,":[143],"combine":[145],"it":[146],"with":[147,216,231],"SOPD":[148],"form":[150],"generator":[152],"model.":[153],"training":[155],"model":[158,215,230],"carried":[160],"out":[161],"(GAN),":[167],"which":[168],"referred":[170],"as":[172],"SOPD-GAN.":[173],"In":[174,197],"addition,":[175],"also":[177],"introduce":[178],"an":[179],"improved":[180],"window":[182],"approach":[183],"(IDWA)":[184],"for":[185],"robot":[186],"planning":[188],"scenarios":[191,211],"based":[192],"prediction.":[196],"order":[198],"validate":[200],"efficacy":[202],"our":[204],"approach,":[205],"conduct":[207],"experiments":[208],"real":[210],"compare":[213],"baselines.":[218],"results":[220],"show":[221],"that":[222],"method":[224],"can":[225],"construct":[226],"suitable":[228],"high":[232],"accuracy,":[233],"thereby":[234],"facilitating":[235],"smooth":[236],"obstacle":[238],"avoidance":[239],"tasks.":[240]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4388430534","counts_by_year":[],"updated_date":"2024-12-04T14:07:50.078227","created_date":"2023-11-07"}
