{"id":"https://openalex.org/W3130839564","doi":"https://doi.org/10.1109/iros45743.2020.9341386","title":"Anomaly Detection for Autonomous Guided Vehicles using Bayesian Surprise","display_name":"Anomaly Detection for Autonomous Guided Vehicles using Bayesian Surprise","publication_year":2020,"publication_date":"2020-10-24","ids":{"openalex":"https://openalex.org/W3130839564","doi":"https://doi.org/10.1109/iros45743.2020.9341386","mag":"3130839564"},"language":"en","primary_location":{"id":"doi:10.1109/iros45743.2020.9341386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros45743.2020.9341386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":"https://openalex.org/A5024997865","display_name":"Ozan \u00c7atal","orcid":"https://orcid.org/0000-0002-0216-7918"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Ozan Catal","raw_affiliation_strings":["IDlab, Ghent University, Gent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDlab, Ghent University, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026245125","display_name":"Sam Leroux","orcid":"https://orcid.org/0000-0003-3792-5026"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Sam Leroux","raw_affiliation_strings":["IDlab, Ghent University, Gent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDlab, Ghent University, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037337384","display_name":"Cedric De Boom","orcid":"https://orcid.org/0000-0003-0763-8114"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Cedric De Boom","raw_affiliation_strings":["IDlab, Ghent University, Gent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDlab, Ghent University, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071221406","display_name":"Tim Verbelen","orcid":"https://orcid.org/0000-0003-2731-7262"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Tim Verbelen","raw_affiliation_strings":["IDlab, Ghent University, Gent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDlab, Ghent University, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032558375","display_name":"Bart Dhoedt","orcid":"https://orcid.org/0000-0002-7271-7479"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bart Dhoedt","raw_affiliation_strings":["IDlab, Ghent University, Gent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDlab, Ghent University, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8148","last_page":"8153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9912999868392944,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9891999959945679,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/surprise","display_name":"Surprise","score":0.7742724418640137},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7284137010574341},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7247295379638672},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6789768934249878},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5780895352363586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5567286014556885},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.495430588722229},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.44401875138282776},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3893832564353943},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34468555450439453},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3213212788105011}],"concepts":[{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.7742724418640137},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7284137010574341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7247295379638672},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6789768934249878},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5780895352363586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5567286014556885},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.495430588722229},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.44401875138282776},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3893832564353943},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34468555450439453},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3213212788105011},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros45743.2020.9341386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros45743.2020.9341386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:8700871","is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/8700871","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781728162126","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"},{"id":"https://openalex.org/F4320327336","display_name":"Vlaamse regering","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W68213892","https://openalex.org/W579436346","https://openalex.org/W1005008076","https://openalex.org/W1575023497","https://openalex.org/W1959608418","https://openalex.org/W1967740178","https://openalex.org/W1979266466","https://openalex.org/W2019515298","https://openalex.org/W2064675550","https://openalex.org/W2085754318","https://openalex.org/W2122646361","https://openalex.org/W2157331557","https://openalex.org/W2158698691","https://openalex.org/W2338990760","https://openalex.org/W2341058432","https://openalex.org/W2399941526","https://openalex.org/W2487771531","https://openalex.org/W2750632489","https://openalex.org/W2751694392","https://openalex.org/W2786487440","https://openalex.org/W2891489522","https://openalex.org/W2901136733","https://openalex.org/W2910068345","https://openalex.org/W2925312408","https://openalex.org/W2933723475","https://openalex.org/W2945434604","https://openalex.org/W2952739007","https://openalex.org/W2964248614","https://openalex.org/W3104341624","https://openalex.org/W4288294128","https://openalex.org/W4289294484","https://openalex.org/W6640963894","https://openalex.org/W6747961299","https://openalex.org/W6754749457","https://openalex.org/W6756256016","https://openalex.org/W6756486208","https://openalex.org/W6758101687","https://openalex.org/W6760835899","https://openalex.org/W6761388252","https://openalex.org/W6765407481"],"related_works":["https://openalex.org/W4236382845","https://openalex.org/W4388712630","https://openalex.org/W2481168998","https://openalex.org/W2476994687","https://openalex.org/W642988558","https://openalex.org/W2324507472","https://openalex.org/W2511141457","https://openalex.org/W1999899047","https://openalex.org/W2173353921","https://openalex.org/W2810824260"],"abstract_inverted_index":{"As":[0],"warehouses,":[1],"storage":[2],"facilities":[3],"and":[4,9,22,27,126,144,155],"factories":[5],"become":[6],"more":[7],"expanded":[8],"equipped":[10],"with":[11,113],"smart":[12],"devices,":[13],"there":[14],"is":[15,107,123,177],"a":[16,52,59,76,89,153,174],"substantial":[17],"need":[18],"for":[19,36,81],"rapid,":[20],"intelligent":[21],"autonomous":[23],"detection":[24],"of":[25,58,118,147,185],"unusual":[26],"potentially":[28],"hazardous":[29],"situations,":[30],"also":[31],"called":[32],"anomalies.":[33],"In":[34,163],"particular":[35],"Autonomous":[37],"Guided":[38],"Vehicles":[39],"(AGVs)":[40],"that":[41,109,150,168,176],"drive":[42],"around":[43,152],"these":[44],"premises":[45],"independently,":[46],"unforeseen":[47],"obstructions":[48],"along":[49],"their":[50],"path-e.g.":[51],"cardboard":[53],"box":[54],"in":[55,63,75,96,183],"the":[56,64,114,119,135,142,157,164],"middle":[57],"corridor":[60],"or":[61,67],"bumps":[62],"floor-and":[65],"sudden":[66],"unexpected":[68],"actions":[69],"executed":[70],"by":[71,100],"personnel-e.g.":[72],"someone":[73],"walking":[74],"restricted":[77],"area-make":[78],"it":[79],"hard":[80],"AGVs":[82],"to":[83,92,139,180],"navigate":[84],"safely.":[85],"We":[86],"therefore":[87],"propose":[88],"novel":[90],"approach":[91,172],"detect":[93,181],"such":[94],"anomalies":[95,182],"an":[97,105,129,148,160],"unsupervised":[98],"manner":[99],"measuring":[101],"Bayesian":[102,170],"surprise:":[103],"whenever":[104],"event":[106,122],"observed":[108],"does":[110],"not":[111],"align":[112],"agent's":[115],"prior":[116,143],"knowledge":[117],"world,":[120],"this":[121],"deemed":[124],"surprising":[125],"could":[127],"indicate":[128],"anomaly.":[130],"This":[131],"paper":[132],"lays":[133],"out":[134],"details":[136],"on":[137],"how":[138],"learn":[140],"both":[141],"posterior":[145],"models":[146],"AGV":[149],"drives":[151],"warehouse":[154],"observes":[156],"environment":[158],"through":[159],"RGBD":[161],"camera.":[162],"experiments":[165],"we":[166],"show":[167],"our":[169],"surprise":[171],"outperforms":[173],"baseline":[175],"traditionally":[178],"used":[179],"sequences":[184],"images.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
