{"id":"https://openalex.org/W4407949455","doi":"https://doi.org/10.1109/cdc56724.2024.10886314","title":"Online Residual Learning from Offline Experts for Pedestrian Tracking","display_name":"Online Residual Learning from Offline Experts for Pedestrian Tracking","publication_year":2024,"publication_date":"2024-12-16","ids":{"openalex":"https://openalex.org/W4407949455","doi":"https://doi.org/10.1109/cdc56724.2024.10886314"},"language":"en","primary_location":{"id":"doi:10.1109/cdc56724.2024.10886314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","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":"Anastasios Vlachos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anastasios Vlachos","raw_affiliation_strings":["ETH Zürich,Automatic Control Laboratory,Department of Information Technology and Electrical Engineering,Zürich,Switzerland,8092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zürich,Automatic Control Laboratory,Department of Information Technology and Electrical Engineering,Zürich,Switzerland,8092","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076331779","display_name":"Anastasios Tsiamis","orcid":"https://orcid.org/0000-0002-7935-7541"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anastasios Tsiamis","raw_affiliation_strings":["ETH Zürich,Automatic Control Laboratory,Department of Information Technology and Electrical Engineering,Zürich,Switzerland,8092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zürich,Automatic Control Laboratory,Department of Information Technology and Electrical Engineering,Zürich,Switzerland,8092","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044833009","display_name":"Aren Karapetyan","orcid":"https://orcid.org/0000-0001-8493-5820"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aren Karapetyan","raw_affiliation_strings":["ETH Zürich,Automatic Control Laboratory,Department of Information Technology and Electrical Engineering,Zürich,Switzerland,8092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zürich,Automatic Control Laboratory,Department of Information Technology and Electrical Engineering,Zürich,Switzerland,8092","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021120581","display_name":"Efe C. Balta","orcid":"https://orcid.org/0000-0001-8596-8739"},"institutions":[{"id":"https://openalex.org/I4210123353","display_name":"Inspire","ror":"https://ror.org/02sy45055","country_code":"CH","type":"company","lineage":["https://openalex.org/I4210123353"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Efe C. Balta","raw_affiliation_strings":["Control and Automation Group, inspire AG 8005 Zürich Switzerland and with the Automatic Control Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control and Automation Group, inspire AG 8005 Zürich Switzerland and with the Automatic Control Laboratory","institution_ids":["https://openalex.org/I4210123353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007359599","display_name":"John Lygeros","orcid":"https://orcid.org/0000-0002-6159-1962"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Lygeros","raw_affiliation_strings":["ETH Zürich,Automatic Control Laboratory,Department of Information Technology and Electrical Engineering,Zürich,Switzerland,8092"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zürich,Automatic Control Laboratory,Department of Information Technology and Electrical Engineering,Zürich,Switzerland,8092","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"3390","last_page":"3395"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9941999912261963,"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":0.9941999912261963,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9908999800682068,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9731000065803528,"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/pedestrian","display_name":"Pedestrian","score":0.7085772156715393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6971065402030945},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6728017330169678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5953018665313721},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5418385863304138},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.46184295415878296},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4145553410053253},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40998533368110657},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.19507020711898804},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1566184163093567},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15424954891204834}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7085772156715393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6971065402030945},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6728017330169678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5953018665313721},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5418385863304138},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.46184295415878296},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4145553410053253},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40998533368110657},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.19507020711898804},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1566184163093567},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15424954891204834},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc56724.2024.10886314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc56724.2024.10886314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1570963478","https://openalex.org/W1968729467","https://openalex.org/W2129160848","https://openalex.org/W2307376191","https://openalex.org/W2619551236","https://openalex.org/W2891091472","https://openalex.org/W2897861898","https://openalex.org/W2905513778","https://openalex.org/W2954115742","https://openalex.org/W2967177252","https://openalex.org/W2991484432","https://openalex.org/W2998089837","https://openalex.org/W3089749396","https://openalex.org/W3139491754","https://openalex.org/W3206023142","https://openalex.org/W3215831676","https://openalex.org/W4214593147","https://openalex.org/W4380372542","https://openalex.org/W6622131334","https://openalex.org/W6676769703","https://openalex.org/W6683841709","https://openalex.org/W6685697101","https://openalex.org/W6779196669","https://openalex.org/W6804800938","https://openalex.org/W6846298114","https://openalex.org/W6846557978","https://openalex.org/W6855958714","https://openalex.org/W6859405353","https://openalex.org/W6861556733","https://openalex.org/W6861906098","https://openalex.org/W6873366225"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W3122828758","https://openalex.org/W2101960027","https://openalex.org/W4205958986","https://openalex.org/W2197846993","https://openalex.org/W49697837","https://openalex.org/W2586575957","https://openalex.org/W2170799233","https://openalex.org/W4320736889"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,32,74,132],"consider":[4],"the":[5,41,44,59,65,76,83,117,128],"problem":[6],"of":[7,43,108,119],"predicting":[8],"unknown":[9],"targets":[10],"from":[11,127],"data.":[12],"We":[13,47,89,110],"propose":[14],"Online":[15],"Residual":[16],"Learning":[17],"(ORL),":[18],"a":[19,29,71],"method":[20],"that":[21,134],"combines":[22],"online":[23,120],"adaptation":[24],"with":[25,85],"offline-trained":[26],"predictions.":[27],"At":[28,70],"lower":[30],"level,":[31,73],"employ":[33,111],"multiple":[34],"offline":[35,50],"predictions":[36],"generated":[37],"before":[38],"or":[39],"at":[40],"beginning":[42],"prediction":[45,51,100],"horizon.":[46],"augment":[48],"every":[49],"by":[52],"learning":[53],"their":[54],"respective":[55],"residual":[56],"error":[57],"concerning":[58],"true":[60],"target":[61],"state":[62],"online,":[63],"using":[64],"recursive":[66],"least":[67],"squares":[68],"algorithm.":[69],"higher":[72],"treat":[75],"augmented":[77],"lower-level":[78],"predictors":[79],"as":[80],"experts,":[81],"adopting":[82],"Prediction":[84],"Expert":[86],"Advice":[87],"framework.":[88],"utilize":[90],"an":[91,98],"adaptive":[92],"softmax":[93],"weighting":[94],"scheme":[95],"to":[96,113],"form":[97],"aggregate":[99],"and":[101],"provide":[102],"guarantees":[103],"for":[104],"ORL":[105,112,135],"in":[106,116],"terms":[107],"regret.":[109],"boost":[114],"performance":[115],"setting":[118],"pedestrian":[121],"trajectory":[122],"prediction.":[123],"Based":[124],"on":[125],"data":[126],"Stanford":[129],"Drone":[130],"Dataset,":[131],"show":[133],"can":[136],"demonstrate":[137],"best-of-both-worlds":[138],"performance.":[139]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}