{"id":"https://openalex.org/W4407449792","doi":"https://doi.org/10.1109/tits.2025.3528391","title":"Dual-STGAT: Dual Spatio-Temporal Graph Attention Networks With Feature Fusion for Pedestrian Crossing Intention Prediction","display_name":"Dual-STGAT: Dual Spatio-Temporal Graph Attention Networks With Feature Fusion for Pedestrian Crossing Intention Prediction","publication_year":2025,"publication_date":"2025-02-13","ids":{"openalex":"https://openalex.org/W4407449792","doi":"https://doi.org/10.1109/tits.2025.3528391"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3528391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3528391","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/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"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Lian","raw_affiliation_strings":["Department of Automotive Engineering, School of Mechanical Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-2095-5563","affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, School of Mechanical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992","https://openalex.org/I4210092944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015188473","display_name":"Yiyang Luo","orcid":"https://orcid.org/0000-0002-8542-9054"},"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"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyang Luo","raw_affiliation_strings":["Department of Automotive Engineering, School of Mechanical Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, School of Mechanical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992","https://openalex.org/I4210092944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114626296","display_name":"Xuecheng Wang","orcid":"https://orcid.org/0000-0002-2226-3106"},"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"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuecheng Wang","raw_affiliation_strings":["Department of Automotive Engineering, School of Mechanical Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-2226-3106","affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, School of Mechanical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992","https://openalex.org/I4210092944"]}]},{"author_position":"middle","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"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linhui Li","raw_affiliation_strings":["Department of Automotive Engineering, School of Mechanical Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-2667-8800","affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, School of Mechanical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992","https://openalex.org/I4210092944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035138204","display_name":"Ge Guo","orcid":"https://orcid.org/0000-0003-4752-4920"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Guo","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-4752-4920","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058587938","display_name":"Weiwei Ren","orcid":null},"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"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Ren","raw_affiliation_strings":["Department of Automotive Engineering, School of Mechanical Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0008-2922-1794","affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, School of Mechanical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992","https://openalex.org/I4210092944"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tao Zhang","orcid":"https://orcid.org/0009-0000-2813-2345"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["Dalian Minzu University, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0000-2813-2345","affiliations":[{"raw_affiliation_string":"Dalian Minzu University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3804,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.9462174,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"26","issue":"4","first_page":"5396","last_page":"5410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9925000071525574,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9925000071525574,"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/T10370","display_name":"Traffic and Road Safety","score":0.9882000088691711,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9876000285148621,"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":0.7437456846237183},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.7035998106002808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6131806373596191},{"id":"https://openalex.org/keywords/pedestrian-crossing","display_name":"Pedestrian crossing","score":0.5090710520744324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47076156735420227},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.457019567489624},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4117983877658844},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34760481119155884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3233262896537781},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23560044169425964},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.19646990299224854},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18499675393104553}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7437456846237183},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.7035998106002808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6131806373596191},{"id":"https://openalex.org/C2777819797","wikidata":"https://www.wikidata.org/wiki/Q8010","display_name":"Pedestrian crossing","level":3,"score":0.5090710520744324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47076156735420227},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.457019567489624},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4117983877658844},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34760481119155884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3233262896537781},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23560044169425964},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.19646990299224854},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18499675393104553},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3528391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3528391","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","score":0.44999998807907104,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2191244507","display_name":null,"funder_award_id":"52472426","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/G7387749221","display_name":null,"funder_award_id":"2022JH1/10400030","funder_id":"https://openalex.org/F4320338469","funder_display_name":"Science and Technology Program of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338469","display_name":"Science and Technology Program of Zhejiang Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1980276147","https://openalex.org/W2559085405","https://openalex.org/W2603203130","https://openalex.org/W2771583656","https://openalex.org/W2799059904","https://openalex.org/W2948058585","https://openalex.org/W2962687116","https://openalex.org/W2963076818","https://openalex.org/W2963697717","https://openalex.org/W2978927732","https://openalex.org/W2980439114","https://openalex.org/W2991202763","https://openalex.org/W2991484432","https://openalex.org/W2996249958","https://openalex.org/W3034552520","https://openalex.org/W3047772167","https://openalex.org/W3083645777","https://openalex.org/W3110317294","https://openalex.org/W3119170582","https://openalex.org/W3119361198","https://openalex.org/W3166395208","https://openalex.org/W3185273257","https://openalex.org/W3190699669","https://openalex.org/W3195951281","https://openalex.org/W3208797976","https://openalex.org/W4226546914","https://openalex.org/W4285105848","https://openalex.org/W4285819379","https://openalex.org/W4290993757","https://openalex.org/W4308233964","https://openalex.org/W4312774977","https://openalex.org/W4318963850","https://openalex.org/W4320736147","https://openalex.org/W4385245566","https://openalex.org/W4386231006","https://openalex.org/W4386590862","https://openalex.org/W4386918839","https://openalex.org/W4391454525","https://openalex.org/W4393078713","https://openalex.org/W4394595158","https://openalex.org/W4398151136","https://openalex.org/W4398184793","https://openalex.org/W4403722828","https://openalex.org/W6637373629","https://openalex.org/W6776598532"],"related_works":["https://openalex.org/W187110833","https://openalex.org/W2905794575","https://openalex.org/W122740207","https://openalex.org/W4388221821","https://openalex.org/W650967530","https://openalex.org/W4390813505","https://openalex.org/W1969216335","https://openalex.org/W1486225309","https://openalex.org/W3172487415","https://openalex.org/W3165055438"],"abstract_inverted_index":{"Pedestrian":[0,121,128],"intent":[1],"prediction":[2],"is":[3,59,70],"critical":[4],"for":[5,34,192],"autonomous":[6,195],"driving,":[7],"as":[8],"accurately":[9],"predicting":[10],"crossing":[11,180],"intentions":[12],"helps":[13],"prevent":[14],"collisions":[15],"and":[16,23,50,93,100,113,123,148,155,168,202],"ensures":[17],"the":[18,65,68,114,120,124,141,166],"safety":[19],"of":[20,67,110],"both":[21,200],"pedestrians":[22,147],"passengers.":[24],"Recent":[25],"research":[26],"has":[27],"focused":[28],"on":[29,165],"vision-based":[30],"deep":[31],"neural":[32],"networks":[33],"this":[35],"task,":[36],"but":[37],"challenges":[38],"remain.":[39],"First,":[40],"current":[41],"methods":[42],"suffer":[43],"from":[44],"low":[45],"efficiency":[46,66],"in":[47,61,178],"multi-feature":[48],"fusion":[49,103],"unreliable":[51],"predictions":[52],"under":[53],"challenging":[54],"conditions.":[55],"Additionally,":[56],"real-time":[57],"performance":[58,201],"essential":[60],"practical":[62],"applications,":[63],"so":[64],"algorithm":[69],"crucial.":[71],"To":[72],"address":[73],"these":[74],"issues,":[75],"we":[76],"propose":[77],"a":[78,84,135,159],"novel":[79],"architecture,":[80],"Dual-STGAT,":[81],"which":[82],"uses":[83],"dual-level":[85],"spatio-temporal":[86,136],"graph":[87,137,160],"network":[88],"to":[89,187],"extract":[90],"pedestrian":[91,111,131,179],"pose":[92],"scene":[94],"interaction":[95],"features,":[96],"reducing":[97],"information":[98,157],"loss":[99],"improving":[101],"feature":[102],"efficiency.":[104,204],"The":[105,127],"model":[106],"captures":[107],"key":[108],"features":[109,133],"behavior":[112],"surrounding":[115,149],"environment":[116],"through":[117,158],"two":[118],"modules:":[119],"Module":[122,129,143],"Scene":[125,142],"Module.":[126],"extracts":[130],"motion":[132,156],"using":[134],"attention":[138],"network,":[139],"while":[140],"models":[144],"interactions":[145],"between":[146],"objects":[150],"by":[151],"integrating":[152],"visual,":[153],"semantic,":[154],"network.":[161],"Extensive":[162],"experiments":[163],"conducted":[164],"PIE":[167],"JAAD":[169],"datasets":[170],"show":[171],"that":[172,198],"Dual-STGAT":[173],"achieves":[174],"over":[175],"90%":[176],"accuracy":[177],"intention":[181],"prediction,":[182],"with":[183],"inference":[184],"latency":[185],"close":[186],"5ms,":[188],"making":[189],"it":[190],"well-suited":[191],"large-scale":[193],"production":[194],"driving":[196],"systems":[197],"demand":[199],"computational":[203]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}