{"id":"https://openalex.org/W4383109141","doi":"https://doi.org/10.1109/icra48891.2023.10161155","title":"Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning","display_name":"Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning","publication_year":2023,"publication_date":"2023-05-29","ids":{"openalex":"https://openalex.org/W4383109141","doi":"https://doi.org/10.1109/icra48891.2023.10161155"},"language":"en","primary_location":{"id":"doi:10.1109/icra48891.2023.10161155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48891.2023.10161155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","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/A5091869385","display_name":"Boris Ivanovic","orcid":"https://orcid.org/0000-0002-8698-202X"},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Boris Ivanovic","raw_affiliation_strings":["NVIDIA Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA Research","institution_ids":["https://openalex.org/I1304085615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077354153","display_name":"J. Harrison","orcid":"https://orcid.org/0000-0002-3643-0489"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I4210113520","display_name":"Brain (Germany)","ror":"https://ror.org/01gamcy45","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210113520"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"James Harrison","raw_affiliation_strings":["Google Research, Brain Team"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research, Brain Team","institution_ids":["https://openalex.org/I1291425158","https://openalex.org/I4210113520"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050003000","display_name":"Marco Pavone","orcid":"https://orcid.org/0000-0002-0206-4337"},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Marco Pavone","raw_affiliation_strings":["NVIDIA Research","Department of Aeronautics and Astronautics, Stanford University, and with NVIDIA Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA Research","institution_ids":["https://openalex.org/I1304085615"]},{"raw_affiliation_string":"Department of Aeronautics and Astronautics, Stanford University, and with NVIDIA Research","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9977,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.91122316,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"7786","last_page":"7793"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9980000257492065,"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":0.9980000257492065,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9933000206947327,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.989300012588501,"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/software-deployment","display_name":"Software deployment","score":0.8559528589248657},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7720943093299866},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.634198009967804},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.588151216506958},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5780702233314514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5694531202316284},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5562143325805664},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.48213502764701843},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.48139381408691406},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46625152230262756},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.43567875027656555},{"id":"https://openalex.org/keywords/envelope","display_name":"Envelope (radar)","score":0.43532004952430725},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11436250805854797},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08076691627502441}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.8559528589248657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7720943093299866},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.634198009967804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.588151216506958},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5780702233314514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5694531202316284},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5562143325805664},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.48213502764701843},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.48139381408691406},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46625152230262756},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.43567875027656555},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.43532004952430725},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11436250805854797},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08076691627502441},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra48891.2023.10161155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48891.2023.10161155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6100000143051147,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W105751747","https://openalex.org/W1959608418","https://openalex.org/W1970206276","https://openalex.org/W2111355587","https://openalex.org/W2137825550","https://openalex.org/W2188365844","https://openalex.org/W2472819217","https://openalex.org/W2506240679","https://openalex.org/W2532516272","https://openalex.org/W2578206533","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2753160622","https://openalex.org/W2899771611","https://openalex.org/W2948194985","https://openalex.org/W2963026768","https://openalex.org/W2963647337","https://openalex.org/W2964208960","https://openalex.org/W2968008415","https://openalex.org/W2971099055","https://openalex.org/W2972710271","https://openalex.org/W2993494286","https://openalex.org/W3022659297","https://openalex.org/W3033920763","https://openalex.org/W3034942609","https://openalex.org/W3035096461","https://openalex.org/W3035285524","https://openalex.org/W3035574168","https://openalex.org/W3037058446","https://openalex.org/W3041350035","https://openalex.org/W3106257603","https://openalex.org/W3116651890","https://openalex.org/W3128486562","https://openalex.org/W3133498163","https://openalex.org/W3139491754","https://openalex.org/W3160050461","https://openalex.org/W3163842339","https://openalex.org/W3177765762","https://openalex.org/W3184153358","https://openalex.org/W3199947090","https://openalex.org/W4225997321","https://openalex.org/W4280566556","https://openalex.org/W4287992200","https://openalex.org/W4288287716","https://openalex.org/W4294646197","https://openalex.org/W4300971732","https://openalex.org/W4312265233","https://openalex.org/W4312750092","https://openalex.org/W4320013936","https://openalex.org/W4385245566","https://openalex.org/W6676669568","https://openalex.org/W6687045409","https://openalex.org/W6720057410","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6739901393","https://openalex.org/W6743661861","https://openalex.org/W6756040250","https://openalex.org/W6763087592","https://openalex.org/W6765361892","https://openalex.org/W6771361393","https://openalex.org/W6772057280","https://openalex.org/W6776331362","https://openalex.org/W6779371077","https://openalex.org/W6779909040","https://openalex.org/W6780503301","https://openalex.org/W6793060456"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W4287817289","https://openalex.org/W3046043522","https://openalex.org/W3095487414","https://openalex.org/W2901026139","https://openalex.org/W3163412989"],"abstract_inverted_index":{"Learning-based":[0],"behavior":[1,72,91],"prediction":[2,38,73,92],"methods":[3],"are":[4,19,40],"increasingly":[5],"being":[6],"deployed":[7],"in":[8,13,24,83],"real-world":[9,113],"autonomous":[10],"systems,":[11],"e.g.,":[12],"fleets":[14],"of":[15,37,45,125],"self-driving":[16],"vehicles,":[17],"which":[18],"beginning":[20],"to":[21,42,55,75,88,122],"commercially":[22],"operate":[23],"major":[25],"cities":[26],"across":[27,111],"the":[28,34],"world.":[29],"Despite":[30],"their":[31],"advancements,":[32],"however,":[33],"vast":[35],"majority":[36],"systems":[39],"specialized":[41],"a":[43,66,123],"set":[44],"well-explored":[46],"geographic":[47],"regions":[48],"or":[49,59,108],"operational":[50],"design":[51],"domains,":[52],"complicating":[53],"deployment":[54],"additional":[56],"cities,":[57],"countries,":[58],"continents.":[60],"Towards":[61],"this":[62],"end,":[63],"we":[64],"present":[65],"novel":[67],"method":[68,118],"for":[69],"efficiently":[70,120],"adapting":[71],"models":[74,93],"new":[76],"environments.":[77,127],"Our":[78],"approach":[79],"leverages":[80],"recent":[81],"advances":[82],"meta-learning,":[84],"specifically":[85],"Bayesian":[86],"regression,":[87],"augment":[89],"existing":[90],"with":[94],"an":[95],"adaptive":[96],"layer":[97],"that":[98,116],"enables":[99],"efficient":[100],"domain":[101],"transfer":[102],"via":[103],"offline":[104],"fine-tuning,":[105],"online":[106],"adaptation,":[107],"both.":[109],"Experiments":[110],"multiple":[112],"datasets":[114],"demonstrate":[115],"our":[117],"can":[119],"adapt":[121],"variety":[124],"unseen":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}