{"id":"https://openalex.org/W4400647521","doi":"https://doi.org/10.1109/iv55156.2024.10588386","title":"TrajFlow: Learning Distributions over Trajectories for Human Behavior Prediction","display_name":"TrajFlow: Learning Distributions over Trajectories for Human Behavior Prediction","publication_year":2024,"publication_date":"2024-06-02","ids":{"openalex":"https://openalex.org/W4400647521","doi":"https://doi.org/10.1109/iv55156.2024.10588386"},"language":"en","primary_location":{"id":"doi:10.1109/iv55156.2024.10588386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-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/A5003482483","display_name":"Anna M\u00e9sz\u00e1ros","orcid":"https://orcid.org/0000-0002-8580-9612"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Anna M\u00e9sz\u00e1ros","raw_affiliation_strings":["TU Delft,Cognitive Robotics Department,Delft,The Netherlands,2628 CB"],"affiliations":[{"raw_affiliation_string":"TU Delft,Cognitive Robotics Department,Delft,The Netherlands,2628 CB","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062132827","display_name":"Julian F. Schumann","orcid":"https://orcid.org/0000-0002-4482-5122"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Julian F. Schumann","raw_affiliation_strings":["TU Delft,Cognitive Robotics Department,Delft,The Netherlands,2628 CB"],"affiliations":[{"raw_affiliation_string":"TU Delft,Cognitive Robotics Department,Delft,The Netherlands,2628 CB","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013297671","display_name":"Javier Alonso\u2013Mora","orcid":"https://orcid.org/0000-0003-0058-570X"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Javier Alonso-Mora","raw_affiliation_strings":["TU Delft,Cognitive Robotics Department,Delft,The Netherlands,2628 CB"],"affiliations":[{"raw_affiliation_string":"TU Delft,Cognitive Robotics Department,Delft,The Netherlands,2628 CB","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031929760","display_name":"Arkady Zgonnikov","orcid":"https://orcid.org/0000-0002-6593-6948"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Arkady Zgonnikov","raw_affiliation_strings":["TU Delft,Cognitive Robotics Department,Delft,The Netherlands,2628 CB"],"affiliations":[{"raw_affiliation_string":"TU Delft,Cognitive Robotics Department,Delft,The Netherlands,2628 CB","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035229829","display_name":"Jens Kober","orcid":"https://orcid.org/0000-0001-7257-5434"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jens Kober","raw_affiliation_strings":["TU Delft,Cognitive Robotics Department,Delft,The Netherlands,2628 CB"],"affiliations":[{"raw_affiliation_string":"TU Delft,Cognitive Robotics Department,Delft,The Netherlands,2628 CB","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003482483"],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":0.7274,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74836152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"184","last_page":"191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9908999800682068,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9908999800682068,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9797999858856201,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9769999980926514,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6483265161514282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4849662780761719},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4006444811820984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6483265161514282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4849662780761719},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4006444811820984}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55156.2024.10588386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1970206276","https://openalex.org/W2070792261","https://openalex.org/W2104067967","https://openalex.org/W2146950091","https://openalex.org/W2157331557","https://openalex.org/W2229105208","https://openalex.org/W2532516272","https://openalex.org/W2734666685","https://openalex.org/W2789531268","https://openalex.org/W2894978157","https://openalex.org/W2963001155","https://openalex.org/W2964203186","https://openalex.org/W2969294606","https://openalex.org/W2982745079","https://openalex.org/W2997884317","https://openalex.org/W2998106940","https://openalex.org/W3035574168","https://openalex.org/W3035692480","https://openalex.org/W3092782486","https://openalex.org/W3108908812","https://openalex.org/W3112927097","https://openalex.org/W3114160745","https://openalex.org/W3114563362","https://openalex.org/W3116651890","https://openalex.org/W3137078226","https://openalex.org/W3139491754","https://openalex.org/W3150807214","https://openalex.org/W3206889382","https://openalex.org/W3208246861","https://openalex.org/W3214950490","https://openalex.org/W4205457214","https://openalex.org/W4206482093","https://openalex.org/W4206627121","https://openalex.org/W4221153516","https://openalex.org/W4312305613","https://openalex.org/W4320712941","https://openalex.org/W4366548409","https://openalex.org/W4387195417","https://openalex.org/W4391306369","https://openalex.org/W4391768533","https://openalex.org/W4391770300","https://openalex.org/W4401025019","https://openalex.org/W6770847983"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Predicting":[0],"the":[1,13,32,59,77,81,107,117],"future":[2],"behavior":[3,37,87],"of":[4,15,61,80,119,124],"human":[5,36,125],"road":[6],"users":[7],"is":[8,104],"an":[9,40,74],"important":[10],"aspect":[11],"for":[12,49],"development":[14],"risk-aware":[16],"autonomous":[17],"vehicles.":[18],"While":[19],"many":[20],"models":[21,89],"have":[22],"been":[23],"developed":[24],"towards":[25],"this":[26],"end,":[27],"effectively":[28],"capturing":[29,62,67,91],"and":[30,103,112],"predicting":[31],"variability":[33],"inherent":[34],"to":[35],"still":[38],"remains":[39],"open":[41],"challenge.":[42],"This":[43],"paper":[44],"proposes":[45],"TrajFlow\u2014a":[46],"new":[47],"approach":[48],"probabilistic":[50,122],"trajectory":[51,71,93],"prediction":[52,88,123],"based":[53],"on":[54,106],"Normalizing":[55,82],"Flows.":[56,83],"We":[57],"reformulate":[58],"problem":[60],"distributions":[63,68,94],"over":[64,69],"trajectories":[65],"into":[66],"abstracted":[70],"features":[72],"using":[73],"autoencoder,":[75],"simplifying":[76],"learning":[78],"task":[79],"TrajFlow":[84,120],"outperforms":[85],"state-of-the-art":[86],"in":[90,95,121],"full":[92],"two":[96],"synthetic":[97],"benchmarks":[98],"with":[99],"known":[100],"true":[101],"distributions,":[102],"competitive":[105],"naturalistic":[108],"datasets":[109],"ETH/UCY,":[110],"rounD,":[111],"nuScenes.":[113],"Our":[114],"results":[115],"demonstrate":[116],"effectiveness":[118],"behavior.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}