{"id":"https://openalex.org/W2923064484","doi":"https://doi.org/10.1109/ivs.2019.8813796","title":"Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model","display_name":"Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2923064484","doi":"https://doi.org/10.1109/ivs.2019.8813796","mag":"2923064484"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2019.8813796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8813796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1903.09381","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072326337","display_name":"Yeping Hu","orcid":"https://orcid.org/0000-0002-2990-3102"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yeping Hu","raw_affiliation_strings":["Department of Mechanical Engineering, University of California, Berkeley, CA, USA","University of California, Berkeley, CA 94720, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"University of California, Berkeley, CA 94720, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101770873","display_name":"Wei Zhan","orcid":"https://orcid.org/0000-0002-1474-1200"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Zhan","raw_affiliation_strings":["Department of Mechanical Engineering, University of California, Berkeley, CA, USA","University of California, Berkeley, CA 94720, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"University of California, Berkeley, CA 94720, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087667477","display_name":"Liting Sun","orcid":"https://orcid.org/0000-0002-1248-2137"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liting Sun","raw_affiliation_strings":["Department of Mechanical Engineering, University of California, Berkeley, CA, USA","University of California, Berkeley, CA 94720, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"University of California, Berkeley, CA 94720, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064077634","display_name":"Masayoshi Tomizuka","orcid":"https://orcid.org/0000-0003-0206-6639"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Masayoshi Tomizuka","raw_affiliation_strings":["Department of Mechanical Engineering, University of California, Berkeley, CA, USA","University of California, Berkeley, CA 94720, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"University of California, Berkeley, CA 94720, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072326337"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":0.3821,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64355542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"557","last_page":"563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.998199999332428,"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":0.998199999332428,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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 Techniques and Applications","score":0.9628000259399414,"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/computer-science","display_name":"Computer science","score":0.7185623645782471},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.701524019241333},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6439594626426697},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6219455003738403},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5714901089668274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5146011114120483},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.47468945384025574},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4535346031188965},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14194750785827637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7185623645782471},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.701524019241333},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6439594626426697},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6219455003738403},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5714901089668274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5146011114120483},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.47468945384025574},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4535346031188965},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14194750785827637},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ivs.2019.8813796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8813796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1903.09381","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.09381","pdf_url":"https://arxiv.org/pdf/1903.09381","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":"doi:10.48550/arxiv.1903.09381","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1903.09381","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1903.09381","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.09381","pdf_url":"https://arxiv.org/pdf/1903.09381","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":[{"id":"https://metadata.un.org/sdg/11","score":0.7099999785423279,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2923064484.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W806995027","https://openalex.org/W1966554111","https://openalex.org/W2030032449","https://openalex.org/W2058570191","https://openalex.org/W2079150870","https://openalex.org/W2105242877","https://openalex.org/W2149090502","https://openalex.org/W2158471180","https://openalex.org/W2519106163","https://openalex.org/W2554713816","https://openalex.org/W2608536805","https://openalex.org/W2612150182","https://openalex.org/W2765363933","https://openalex.org/W2788270507","https://openalex.org/W2793483732","https://openalex.org/W2796657115","https://openalex.org/W2803332797","https://openalex.org/W2890157627","https://openalex.org/W2891385160","https://openalex.org/W2892122874","https://openalex.org/W2949805829","https://openalex.org/W2950802180","https://openalex.org/W2951004968","https://openalex.org/W2951447271","https://openalex.org/W2962719371","https://openalex.org/W2963309363","https://openalex.org/W2963489164","https://openalex.org/W2963787234","https://openalex.org/W2963906196","https://openalex.org/W2964059111","https://openalex.org/W2964193755","https://openalex.org/W2967177252","https://openalex.org/W6617145748","https://openalex.org/W6745117592"],"related_works":["https://openalex.org/W2971215036","https://openalex.org/W3204161688","https://openalex.org/W3173905955","https://openalex.org/W2971007756","https://openalex.org/W2918814536","https://openalex.org/W3176051609","https://openalex.org/W2404739891","https://openalex.org/W3131453904","https://openalex.org/W2786622370","https://openalex.org/W1978614948","https://openalex.org/W2980715121","https://openalex.org/W2921112343","https://openalex.org/W3120301609","https://openalex.org/W3103178666","https://openalex.org/W3026712082","https://openalex.org/W2908715333","https://openalex.org/W3032731803","https://openalex.org/W2791803308","https://openalex.org/W3204674984","https://openalex.org/W2964396132"],"abstract_inverted_index":{"For":[0],"autonomous":[1],"agents":[2],"to":[3,11,55,146,158],"successfully":[4],"operate":[5],"in":[6,18,34,148],"real":[7,149],"world,":[8],"the":[9,19,70,137,162],"ability":[10],"anticipate":[12],"future":[13,82],"motions":[14,121],"of":[15,62,117,122,125],"surrounding":[16],"entities":[17,58],"scene":[20],"can":[21,135],"greatly":[22],"enhance":[23],"their":[24],"safety":[25],"levels":[26],"since":[27,60],"potentially":[28],"dangerous":[29],"situations":[30],"could":[31],"be":[32],"avoided":[33],"advance.":[35],"While":[36],"impressive":[37],"results":[38],"have":[39],"been":[40],"shown":[41],"on":[42,110],"predicting":[43,119],"each":[44,123],"agent's":[45],"behavior":[46],"independently,":[47],"we":[48,94],"argue":[49],"that":[50],"it":[51],"is":[52,108,115,132,156],"not":[53],"valid":[54],"consider":[56],"road":[57],"individually":[59],"transitions":[61],"vehicle":[63],"states":[64],"are":[65],"highly":[66],"coupled.":[67],"Moreover,":[68],"as":[69,140,142],"predicted":[71],"horizon":[72],"becomes":[73],"longer,":[74],"modeling":[75],"prediction":[76,103],"uncertainties":[77],"and":[78,114,160],"multi-modal":[79,101],"distributions":[80],"over":[81],"sequences":[83],"will":[84],"turn":[85],"into":[86],"a":[87,100,111],"more":[88,144],"challenging":[89],"task.":[90],"In":[91],"this":[92,96],"paper,":[93],"address":[95],"challenge":[97],"by":[98],"presenting":[99],"probabilistic":[102],"approach.":[104],"The":[105],"proposed":[106,163],"method":[107],"based":[109],"generative":[112],"model":[113,131],"capable":[116],"jointly":[118],"sequential":[120],"pair":[124],"interacting":[126],"agents.":[127],"Most":[128],"importantly,":[129],"our":[130],"interpretable,":[133],"which":[134],"explain":[136],"underneath":[138],"logic":[139],"well":[141],"obtain":[143],"reliability":[145],"use":[147],"applications.":[150],"A":[151],"complicate":[152],"real-world":[153],"roundabout":[154],"scenario":[155],"utilized":[157],"implement":[159],"examine":[161],"method.":[164]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-28T06:11:35.319607","created_date":"2025-10-10T00:00:00"}
