{"id":"https://openalex.org/W4389692389","doi":"https://doi.org/10.1109/tiv.2023.3342202","title":"Implicit Scene Context-Aware Interactive Trajectory Prediction for Autonomous Driving","display_name":"Implicit Scene Context-Aware Interactive Trajectory Prediction for Autonomous Driving","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4389692389","doi":"https://doi.org/10.1109/tiv.2023.3342202"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2023.3342202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3342202","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Vehicles","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.gla.ac.uk/view/author/60417.html>","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021361378","display_name":"Wenxing Lan","orcid":"https://orcid.org/0000-0002-1441-5376"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenxing Lan","raw_affiliation_strings":["Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China","Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086491465","display_name":"Dachuan Li","orcid":"https://orcid.org/0000-0002-7267-9951"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dachuan Li","raw_affiliation_strings":["Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China","Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037660521","display_name":"Qi Hao","orcid":"https://orcid.org/0000-0002-2792-5965"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Hao","raw_affiliation_strings":["Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China","Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027569449","display_name":"Dezong Zhao","orcid":"https://orcid.org/0000-0002-9848-372X"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dezong Zhao","raw_affiliation_strings":["James Watt School of Engineering, University of Glasgow, Glasgow, U.K"],"affiliations":[{"raw_affiliation_string":"James Watt School of Engineering, University of Glasgow, Glasgow, U.K","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112113074","display_name":"Bin Tian","orcid":"https://orcid.org/0000-0003-1050-1282"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Tian","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021361378"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":0.5572,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66079166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"9","issue":"9","first_page":"5461","last_page":"5477"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9987000226974487,"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":0.9987000226974487,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9876000285148621,"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/computer-science","display_name":"Computer science","score":0.8075829744338989},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.7011125087738037},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6892955899238586},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.6818848252296448},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6724317073822021},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5669782757759094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5599591732025146},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.49557507038116455},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.45555999875068665},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.43013498187065125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40887799859046936},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37636232376098633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8075829744338989},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.7011125087738037},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6892955899238586},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.6818848252296448},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6724317073822021},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5669782757759094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5599591732025146},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.49557507038116455},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.45555999875068665},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.43013498187065125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40887799859046936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37636232376098633},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tiv.2023.3342202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3342202","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Vehicles","raw_type":"journal-article"},{"id":"pmh:oai:eprints.gla.ac.uk:312844","is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/60417.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":{"id":"pmh:oai:eprints.gla.ac.uk:312844","is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/60417.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1386990879","display_name":null,"funder_award_id":"52272419","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5889209824","display_name":null,"funder_award_id":"62261160654","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":55,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2064675550","https://openalex.org/W2107338474","https://openalex.org/W2118382442","https://openalex.org/W2534652523","https://openalex.org/W2550143307","https://openalex.org/W2905509562","https://openalex.org/W2909499846","https://openalex.org/W2946231253","https://openalex.org/W2955189650","https://openalex.org/W2962949934","https://openalex.org/W2963759562","https://openalex.org/W2963906196","https://openalex.org/W2967177252","https://openalex.org/W2980087597","https://openalex.org/W3010072020","https://openalex.org/W3016826426","https://openalex.org/W3028769608","https://openalex.org/W3034722190","https://openalex.org/W3035054225","https://openalex.org/W3035671534","https://openalex.org/W3062588417","https://openalex.org/W3065468121","https://openalex.org/W3108486966","https://openalex.org/W3134623788","https://openalex.org/W3176912151","https://openalex.org/W3199792569","https://openalex.org/W3203076355","https://openalex.org/W3204875639","https://openalex.org/W3209837334","https://openalex.org/W4210389721","https://openalex.org/W4226239849","https://openalex.org/W4233045210","https://openalex.org/W4285062584","https://openalex.org/W4286285572","https://openalex.org/W4295719664","https://openalex.org/W4296079511","https://openalex.org/W4296425724","https://openalex.org/W4312238169","https://openalex.org/W4312550876","https://openalex.org/W4312731878","https://openalex.org/W4313887509","https://openalex.org/W4361799717","https://openalex.org/W4376166839","https://openalex.org/W4385154238","https://openalex.org/W4385245566","https://openalex.org/W4386088221","https://openalex.org/W4386869725","https://openalex.org/W6631190155","https://openalex.org/W6739901393","https://openalex.org/W6745935785","https://openalex.org/W6768870957","https://openalex.org/W6769043036","https://openalex.org/W6782468546","https://openalex.org/W6791253119"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W2751208925","https://openalex.org/W2347541121","https://openalex.org/W2468279273","https://openalex.org/W4288804799","https://openalex.org/W3089617106","https://openalex.org/W3032237421","https://openalex.org/W2080951048","https://openalex.org/W3011883280","https://openalex.org/W2018977954"],"abstract_inverted_index":{"The":[0,66],"accurate":[1,61,155],"prediction":[2,51,78,179],"of":[3,5,68,75,83,101,134,178],"behaviors":[4],"surrounding":[6],"traffic":[7,33],"participants":[8],"is":[9,38],"critical":[10],"for":[11,60,115],"autonomous":[12],"vehicles":[13],"(AV).":[14],"How":[15],"to":[16,89,146],"fully":[17,90],"encode":[18,91],"both":[19,84],"explicit":[20,109],"(e.g.,":[21,32],"map":[22],"structure":[23],"and":[24,27,62,86,110,139,150,153,164,181],"road":[25,166],"geometry)":[26],"implicit":[28,47,111],"scene":[29,48,92,112,182],"context":[30,93,113,183],"information":[31,94,114],"rules)":[34],"within":[35],"complex":[36,97,148],"scenarios":[37],"still":[39],"challenging.":[40],"In":[41],"this":[42],"work,":[43],"we":[44],"propose":[45],"an":[46],"context-aware":[49],"trajectory":[50,140],"framework":[52,79],"(the":[53],"PRISC-Net,":[54],"Prediction":[55],"with":[56,121,142],"Implicit":[57],"Scene":[58],"Context)":[59],"interactive":[63],"behavior":[64,77,162],"forecasting.":[65],"novelty":[67],"the":[69,135,170],"proposed":[70,136,171],"approach":[71],"includes:":[72],"1)":[73],"development":[74,100],"a":[76,102,122,143],"that":[80,107,126,169],"takes":[81],"advantage":[82],"model-":[85],"learning-based":[87,144],"approaches":[88,172],"while":[95],"modeling":[96],"interactions;":[98],"2)":[99],"candidate":[103,116,130],"path":[104,117],"target":[105,118,137],"predictor":[106,138],"utilizes":[108],"prediction,":[119],"along":[120],"motion":[123],"planning-based":[124],"generator":[125,141],"generates":[127],"kinematic":[128],"feasible":[129],"trajectories;":[131],"3)":[132],"integration":[133],"evaluator":[145],"capture":[147],"agent-agent":[149],"agent-scene":[151],"interactions":[152],"output":[154],"predictions.":[156],"Experiment":[157],"results":[158],"based":[159],"on":[160],"vehicle":[161],"datasets":[163],"real-world":[165],"tests":[167],"show":[168],"outperform":[173],"state-of-the-art":[174],"methods":[175],"in":[176],"terms":[177],"accuracy":[180],"compliance.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
