{"id":"https://openalex.org/W2992627436","doi":"https://doi.org/10.1109/lra.2020.3004794","title":"Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs","display_name":"Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs","publication_year":2020,"publication_date":"2020-06-25","ids":{"openalex":"https://openalex.org/W2992627436","doi":"https://doi.org/10.1109/lra.2020.3004794","mag":"2992627436"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2020.3004794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2020.3004794","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"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 Robotics and Automation Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1912.01118","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016704715","display_name":"Rohan Chandra","orcid":"https://orcid.org/0000-0003-4843-6375"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rohan Chandra","raw_affiliation_strings":["Department of Computer Science, University of Maryland, College Park, USA","Department of Computer Science, University of Maryland, College Park, USA#TAB#"],"raw_orcid":"https://orcid.org/0000-0003-4843-6375","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014003390","display_name":"Tianrui Guan","orcid":"https://orcid.org/0000-0002-6892-9778"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianrui Guan","raw_affiliation_strings":["Department of Computer Science, University of Maryland, College Park, USA","Department of Computer Science, University of Maryland, College Park, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022980399","display_name":"Srujan Panuganti","orcid":"https://orcid.org/0000-0003-4846-5029"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srujan Panuganti","raw_affiliation_strings":["Department of Computer Science, University of Maryland, College Park, USA","Department of Computer Science, University of Maryland, College Park, USA#TAB#"],"raw_orcid":"https://orcid.org/0000-0003-4846-5029","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086565759","display_name":"Trisha Mittal","orcid":"https://orcid.org/0000-0003-3558-6518"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Trisha Mittal","raw_affiliation_strings":["Department of Computer Science, University of Maryland, College Park, USA","Department of Computer Science, University of Maryland, College Park, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042584669","display_name":"Uttaran Bhattacharya","orcid":"https://orcid.org/0000-0003-2141-9276"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Uttaran Bhattacharya","raw_affiliation_strings":["Department of Computer Science, University of Maryland, College Park, USA","Department of Computer Science, University of Maryland, College Park, USA#TAB#"],"raw_orcid":"https://orcid.org/0000-0003-2141-9276","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058453308","display_name":"Aniket Bera","orcid":"https://orcid.org/0000-0002-0182-6985"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aniket Bera","raw_affiliation_strings":["University of Maryland Institute for Advanced Computer Studies (UMIACS), Maryland Robotics Center (James Clark School of Engineering), University of Maryland, College Park, USA","[University of Maryland Institute for Advanced Computer Studies (UMIACS), Maryland Robotics Center (James Clark School of Engineering), University of Maryland, College Park, USA]"],"raw_orcid":"https://orcid.org/0000-0002-0182-6985","affiliations":[{"raw_affiliation_string":"University of Maryland Institute for Advanced Computer Studies (UMIACS), Maryland Robotics Center (James Clark School of Engineering), University of Maryland, College Park, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"[University of Maryland Institute for Advanced Computer Studies (UMIACS), Maryland Robotics Center (James Clark School of Engineering), University of Maryland, College Park, USA]","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004194238","display_name":"Dinesh Manocha","orcid":"https://orcid.org/0000-0001-7047-9801"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinesh Manocha","raw_affiliation_strings":["Department of Computer Science, University of Maryland, College Park, USA","Electrical and Computer Engineering department, University of Maryland, College Park, USA","[Department of Computer Science, University of Maryland, College Park, USA, Electrical and Computer Engineering department, University of Maryland, College Park, USA]"],"raw_orcid":"https://orcid.org/0000-0001-7047-9801","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Electrical and Computer Engineering department, University of Maryland, College Park, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"[Department of Computer Science, University of Maryland, College Park, USA, Electrical and Computer Engineering department, University of Maryland, College Park, USA]","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":1.34,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.77380844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"5","issue":"3","first_page":"4882","last_page":"4890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"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/T10524","display_name":"Traffic control and management","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10698","display_name":"Transportation Planning and Optimization","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.680830717086792},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6384106874465942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6291375160217285},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5849043726921082},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5811594128608704},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5765005350112915},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.520327091217041},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43633562326431274},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42205631732940674},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.42006444931030273},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3967408537864685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.328673779964447},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14775055646896362}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.680830717086792},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6384106874465942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6291375160217285},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5849043726921082},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5811594128608704},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5765005350112915},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.520327091217041},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43633562326431274},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42205631732940674},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.42006444931030273},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3967408537864685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.328673779964447},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14775055646896362},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/lra.2020.3004794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2020.3004794","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766","2377-3774"],"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 Robotics and Automation Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1912.01118","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.01118","pdf_url":"https://arxiv.org/pdf/1912.01118","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2992627436","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1912.01118","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1912.01118","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1912.01118","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1912.01118","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.01118","pdf_url":"https://arxiv.org/pdf/1912.01118","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320307102","display_name":"Intel Corporation","ror":"https://ror.org/01ek73717"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2992627436.pdf"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W349755613","https://openalex.org/W1592568942","https://openalex.org/W1760551737","https://openalex.org/W1810943226","https://openalex.org/W1849142051","https://openalex.org/W1976559630","https://openalex.org/W1995719837","https://openalex.org/W1997729461","https://openalex.org/W2007561903","https://openalex.org/W2015255465","https://openalex.org/W2036991623","https://openalex.org/W2040084091","https://openalex.org/W2045625774","https://openalex.org/W2058818389","https://openalex.org/W2097308346","https://openalex.org/W2105808107","https://openalex.org/W2126288068","https://openalex.org/W2132914434","https://openalex.org/W2138356292","https://openalex.org/W2139391802","https://openalex.org/W2151666054","https://openalex.org/W2363596079","https://openalex.org/W2424778531","https://openalex.org/W2594201198","https://openalex.org/W2611025044","https://openalex.org/W2741066535","https://openalex.org/W2756203131","https://openalex.org/W2765932895","https://openalex.org/W2788503006","https://openalex.org/W2792239816","https://openalex.org/W2798058877","https://openalex.org/W2798930779","https://openalex.org/W2799059904","https://openalex.org/W2802140230","https://openalex.org/W2803332797","https://openalex.org/W2892119467","https://openalex.org/W2900782701","https://openalex.org/W2903871660","https://openalex.org/W2904449562","https://openalex.org/W2905385096","https://openalex.org/W2909676666","https://openalex.org/W2911498565","https://openalex.org/W2913465992","https://openalex.org/W2925148167","https://openalex.org/W2940129212","https://openalex.org/W2949767467","https://openalex.org/W2949888546","https://openalex.org/W2950891689","https://openalex.org/W2955189650","https://openalex.org/W2962687116","https://openalex.org/W2963001155","https://openalex.org/W2963906196","https://openalex.org/W2963945905","https://openalex.org/W2964058022","https://openalex.org/W2964107195","https://openalex.org/W2969855422","https://openalex.org/W2978806113","https://openalex.org/W2979565629","https://openalex.org/W2983397630","https://openalex.org/W2989851631","https://openalex.org/W2990116160","https://openalex.org/W2996451395","https://openalex.org/W3003909477","https://openalex.org/W3026544131","https://openalex.org/W3103720336","https://openalex.org/W4301491118","https://openalex.org/W6600156266","https://openalex.org/W6638273328","https://openalex.org/W6678694233","https://openalex.org/W6745544366","https://openalex.org/W6754942691","https://openalex.org/W6764068339","https://openalex.org/W6769248360"],"related_works":["https://openalex.org/W3037376004","https://openalex.org/W2963001155","https://openalex.org/W2424778531","https://openalex.org/W2962687116","https://openalex.org/W2607296803","https://openalex.org/W2970116586","https://openalex.org/W2963906196","https://openalex.org/W2955189650","https://openalex.org/W2532516272","https://openalex.org/W2167052694","https://openalex.org/W3093570888","https://openalex.org/W2994467100","https://openalex.org/W2968149264","https://openalex.org/W3189142404","https://openalex.org/W3090083930","https://openalex.org/W2352777843","https://openalex.org/W2908455080","https://openalex.org/W3166876462","https://openalex.org/W3205473810","https://openalex.org/W3091922898"],"abstract_inverted_index":{"We":[0,22,61,148],"present":[1],"a":[2,13,55,63,90,110,139,186],"novel":[3],"approach":[4,151,172],"for":[5,192],"traffic":[6,10,69],"forecasting":[7,70],"in":[8,123],"urban":[9],"scenarios":[11],"using":[12,54,71],"combination":[14],"of":[15,42,82,132,190],"spectral":[16,116,197],"graph":[17,59],"analysis":[18],"and":[19,128,157,160,184],"deep":[20],"learning.":[21],"predict":[23],"both":[24],"the":[25,33,39,48,51,79,85,120,130,133,144,153,162,174],"low-level":[26],"information":[27,35],"(future":[28],"trajectories)":[29],"as":[30,32],"well":[31],"high-level":[34],"(road-agent":[36],"behavior)":[37],"from":[38],"extracted":[40],"trajectory":[41,166],"each":[43],"road-agent.":[44],"Our":[45],"formulation":[46],"represents":[47],"proximity":[49],"between":[50,105],"road":[52],"agents":[53],"weighted":[56,73,187],"dynamic":[57],"geometric":[58],"(DGG).":[60],"use":[62],"two-stream":[64],"graph-LSTM":[65],"network":[66],"to":[67,94,118,204],"perform":[68],"these":[72],"DGGs.":[74],"The":[75],"first":[76],"stream":[77,87],"predicts":[78,88],"spatial":[80,103],"coordinates":[81],"road-agents,":[83],"while":[84],"second":[86],"whether":[89],"road-agent":[91],"is":[92],"going":[93],"exhibit":[95],"overspeeding,":[96],"underspeeding,":[97],"or":[98],"neutral":[99],"behavior":[100,193],"by":[101,178,202],"modeling":[102],"interactions":[104],"road-agents.":[106],"Additionally,":[107,195],"we":[108,137],"propose":[109],"new":[111],"regularization":[112,198],"algorithm":[113],"based":[114],"on":[115,143,152],"clustering":[117],"reduce":[119],"error":[121,177],"margin":[122],"long-term":[124,200],"prediction":[125,146,167,176,201],"(3-5":[126],"seconds)":[127],"improve":[129],"accuracy":[131,189],"predicted":[134],"trajectories.":[135],"Moreover,":[136],"prove":[138],"theoretical":[140],"upper":[141],"bound":[142],"regularized":[145],"error.":[147],"evaluate":[149],"our":[150,171,196],"Argoverse,":[154],"Lyft,":[155],"Apolloscape,":[156],"NGSIM":[158],"datasets":[159],"highlight":[161],"benefits":[163],"over":[164,181],"prior":[165,182],"methods.":[168],"In":[169],"practice,":[170],"reduces":[173],"average":[175,188],"approximately":[179],"75%":[180],"algorithms":[183],"achieves":[185],"91.2%":[191],"prediction.":[194],"improves":[199],"up":[203],"70%.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}