{"id":"https://openalex.org/W7136333928","doi":"https://doi.org/10.1109/itsc60802.2025.11423235","title":"Deciphering Aggressive and Courteous Vehicle Behaviors: Acceleration-Enhanced Cross-Modal Transformer for Pedestrian Intention Prediction","display_name":"Deciphering Aggressive and Courteous Vehicle Behaviors: Acceleration-Enhanced Cross-Modal Transformer for Pedestrian Intention Prediction","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W7136333928","doi":"https://doi.org/10.1109/itsc60802.2025.11423235"},"language":null,"primary_location":{"id":"doi:10.1109/itsc60802.2025.11423235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Dong Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["Institute of Robotics and Automatic Information System,Tianjin Key Laboratory of Intelligent Robotics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Robotics and Automatic Information System,Tianjin Key Laboratory of Intelligent Robotics","institution_ids":["https://openalex.org/I4210116723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122907070","display_name":"Enfan Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Enfan Lan","raw_affiliation_strings":["Institute of Robotics and Automatic Information System,Tianjin Key Laboratory of Intelligent Robotics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Robotics and Automatic Information System,Tianjin Key Laboratory of Intelligent Robotics","institution_ids":["https://openalex.org/I4210116723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126678686","display_name":"Peili Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peili Song","raw_affiliation_strings":["Institute of Robotics and Automatic Information System,Tianjin Key Laboratory of Intelligent Robotics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Robotics and Automatic Information System,Tianjin Key Laboratory of Intelligent Robotics","institution_ids":["https://openalex.org/I4210116723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101847695","display_name":"Yuting Yang","orcid":"https://orcid.org/0000-0001-6859-6195"},"institutions":[{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Yang","raw_affiliation_strings":["Institute of Robotics and Automatic Information System,Tianjin Key Laboratory of Intelligent Robotics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Robotics and Automatic Information System,Tianjin Key Laboratory of Intelligent Robotics","institution_ids":["https://openalex.org/I4210116723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030233306","display_name":"Jingtai Liu","orcid":"https://orcid.org/0000-0003-2645-5655"},"institutions":[{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingtai Liu","raw_affiliation_strings":["Institute of Robotics and Automatic Information System,Tianjin Key Laboratory of Intelligent Robotics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Robotics and Automatic Information System,Tianjin Key Laboratory of Intelligent Robotics","institution_ids":["https://openalex.org/I4210116723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210116723"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4101","last_page":"4108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.3801000118255615,"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":0.3801000118255615,"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/T11487","display_name":"Automotive and Human Injury Biomechanics","score":0.10170000046491623,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.0835999995470047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6863999962806702},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.45899999141693115},{"id":"https://openalex.org/keywords/poison-control","display_name":"Poison control","score":0.34290000796318054},{"id":"https://openalex.org/keywords/vehicle-safety","display_name":"Vehicle safety","score":0.27410000562667847}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6863999962806702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5224000215530396},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.45899999141693115},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3840999901294708},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3619999885559082},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.34290000796318054},{"id":"https://openalex.org/C77595967","wikidata":"https://www.wikidata.org/wiki/Q3151013","display_name":"Forensic engineering","level":1,"score":0.3181999921798706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2888000011444092},{"id":"https://openalex.org/C2986542766","wikidata":"https://www.wikidata.org/wiki/Q2090494","display_name":"Vehicle safety","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.23180000483989716}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc60802.2025.11423235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)","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":0.6784066557884216}],"awards":[{"id":"https://openalex.org/G3116307879","display_name":null,"funder_award_id":"62173189","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":29,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1902237438","https://openalex.org/W2194775991","https://openalex.org/W2470673105","https://openalex.org/W2576845151","https://openalex.org/W2752782242","https://openalex.org/W2771583656","https://openalex.org/W2896127393","https://openalex.org/W2963091558","https://openalex.org/W2963524571","https://openalex.org/W2968684599","https://openalex.org/W2980439114","https://openalex.org/W2991484432","https://openalex.org/W3119170582","https://openalex.org/W3127561923","https://openalex.org/W3131031062","https://openalex.org/W3166395208","https://openalex.org/W3191907322","https://openalex.org/W3195951281","https://openalex.org/W3198892835","https://openalex.org/W3208797976","https://openalex.org/W4285105848","https://openalex.org/W4289752563","https://openalex.org/W4312311771","https://openalex.org/W4318963850","https://openalex.org/W4385245566","https://openalex.org/W4391768518","https://openalex.org/W4395027643","https://openalex.org/W4402671950"],"related_works":[],"abstract_inverted_index":{"Pedestrian":[0],"intention":[1],"prediction":[2],"is":[3,71,108],"critical":[4],"for":[5],"the":[6,37,42,51,87,118,125],"safe":[7],"deployment":[8],"of":[9,86,134],"autonomous":[10],"driving":[11],"systems":[12],"in":[13],"urban":[14],"traffic":[15],"environments.":[16],"Recent":[17],"studies":[18],"have":[19],"employed":[20,109],"attention":[21],"mechanisms":[22],"and":[23,41,53,80,93,120,143],"recurrent":[24],"neural":[25],"networks":[26],"to":[27,35,48,97,110],"fuse":[28],"pedestrian":[29,61,78],"trajectories":[30,79],"with":[31,131],"ego-vehicle":[32,75,81],"velocity,":[33,82],"aiming":[34],"capture":[36],"interactions":[38,90],"between":[39,91],"pedestrians":[40,92],"vehicle.":[43],"However,":[44],"these":[45],"approaches":[46],"struggle":[47],"fully":[49],"characterize":[50],"aggressive":[52],"courteous":[54],"vehicle":[55],"behaviors":[56],"that":[57,124],"can":[58],"significantly":[59],"influence":[60],"intention.":[62],"To":[63],"address":[64],"this":[65],"limitation,":[66],"a":[67,105],"Cross-Modal":[68],"Transformer":[69],"module":[70,107],"employed,":[72],"which":[73],"incorporates":[74],"acceleration":[76],"alongside":[77],"enabling":[83],"finegrained":[84],"modeling":[85],"complex,":[88],"dynamic":[89],"vehicles.":[94],"In":[95],"addition,":[96],"more":[98],"effectively":[99],"exploit":[100],"multi":[101],"modal":[102],"feature":[103,113],"information,":[104],"Mixture-of-Experts":[106],"dynamically":[111],"assign":[112],"weights.":[114],"Extensive":[115],"experiments":[116],"on":[117,136,139,145],"PIE":[119],"JAAD":[121],"datasets":[122],"demonstrate":[123],"proposed":[126],"model":[127],"achieves":[128],"state-of-the-art":[129],"performance,":[130],"AUC":[132],"scores":[133],"0.94":[135],"PIE,":[137],"0.88":[138],"<tex":[140,146],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[141,147],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\text{JAAD}_{\\text{all}}$</tex>,":[142],"0.72":[144],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\text{JAAD}_{\\text{beh}}$</tex>.":[148]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-17T00:00:00"}
