{"id":"https://openalex.org/W7113085672","doi":null,"title":"Silmad p\u00e4rani kinni: objektituvastuse j\u00f5udluse anal\u00fc\u00fcs halvenenud sensori sisendiga olukordades","display_name":"Silmad p\u00e4rani kinni: objektituvastuse j\u00f5udluse anal\u00fc\u00fcs halvenenud sensori sisendiga olukordades","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7113085672"},"language":"en","primary_location":{"id":"pmh:oai:dspace.ut.ee:10062/117032","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10062/117032","pdf_url":"https://dspace.ut.ee/bitstreams/fcaf373c-f55d-4619-b754-1f5329a42c13/download","source":{"id":"https://openalex.org/S4306401412","display_name":"DSpace repository (University of Tartu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I56085075","host_organization_name":"University of Tartu","host_organization_lineage":["https://openalex.org/I56085075"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dspace.ut.ee/bitstreams/fcaf373c-f55d-4619-b754-1f5329a42c13/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ploter, Maksim","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ploter, Maksim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.5830000042915344,"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":0.5830000042915344,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.40529999136924744,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.002899999963119626,"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/autonomous-driving","display_name":"autonomous driving","score":0.7250000238418579},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.9570000171661377},{"id":"https://openalex.org/keywords/perception-robustness","display_name":"perception robustness","score":0.652999997138977},{"id":"https://openalex.org/keywords/sensor-faults","display_name":"sensor faults","score":0.722000002861023},{"id":"https://openalex.org/keywords/multisensory-perception","display_name":"multisensory perception","score":0.7860000133514404},{"id":"https://openalex.org/keywords/temporal-information","display_name":"temporal information","score":0.753000020980835},{"id":"https://openalex.org/keywords/sae-j3016","display_name":"SAE J3016","score":0.7129999995231628}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7139000296592712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.625},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5658000111579895},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5275999903678894},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5022000074386597},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.49970000982284546},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4975000023841858},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.4699999988079071},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.462799996137619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.412200003862381},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.41200000047683716},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3919999897480011},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.3853999972343445},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3756999969482422},{"id":"https://openalex.org/C132835097","wikidata":"https://www.wikidata.org/wiki/Q7663745","display_name":"System safety","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3391000032424927},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2856999933719635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2840000092983246},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.27709999680519104},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.2655999958515167},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.2648000121116638}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:dspace.ut.ee:10062/117032","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10062/117032","pdf_url":"https://dspace.ut.ee/bitstreams/fcaf373c-f55d-4619-b754-1f5329a42c13/download","source":{"id":"https://openalex.org/S4306401412","display_name":"DSpace repository (University of Tartu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I56085075","host_organization_name":"University of Tartu","host_organization_lineage":["https://openalex.org/I56085075"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"}],"best_oa_location":{"id":"pmh:oai:dspace.ut.ee:10062/117032","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10062/117032","pdf_url":"https://dspace.ut.ee/bitstreams/fcaf373c-f55d-4619-b754-1f5329a42c13/download","source":{"id":"https://openalex.org/S4306401412","display_name":"DSpace repository (University of Tartu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I56085075","host_organization_name":"University of Tartu","host_organization_lineage":["https://openalex.org/I56085075"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324717","display_name":"Tartu \u00dclikool","ror":"https://ror.org/03z77qz90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7113085672.pdf","grobid_xml":"https://content.openalex.org/works/W7113085672.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1485009520","https://openalex.org/W2031489346","https://openalex.org/W2064675550","https://openalex.org/W2102605133","https://openalex.org/W2112796928","https://openalex.org/W2116435618","https://openalex.org/W2128272608","https://openalex.org/W2133564696","https://openalex.org/W2180092181","https://openalex.org/W2193145675","https://openalex.org/W2222512263","https://openalex.org/W2282391807","https://openalex.org/W2335901184","https://openalex.org/W2336589871","https://openalex.org/W2546241758","https://openalex.org/W2601564443","https://openalex.org/W2612445135","https://openalex.org/W2626778328","https://openalex.org/W2793130599","https://openalex.org/W2884561390","https://openalex.org/W2908510526","https://openalex.org/W2919115771","https://openalex.org/W2949533892","https://openalex.org/W2950628590","https://openalex.org/W2951433694","https://openalex.org/W2952122856","https://openalex.org/W2953303875","https://openalex.org/W2963212638","https://openalex.org/W2983827899","https://openalex.org/W3030520226","https://openalex.org/W3080319816","https://openalex.org/W3092462694","https://openalex.org/W3134144764","https://openalex.org/W4221166276","https://openalex.org/W4312713936","https://openalex.org/W4401394214"],"related_works":["https://openalex.org/W7127442468","https://openalex.org/W7160415661","https://openalex.org/W7221495468","https://openalex.org/W7170088426","https://openalex.org/W7221433541","https://openalex.org/W7017180145","https://openalex.org/W7112738693","https://openalex.org/W4386918898","https://openalex.org/W7131381644","https://openalex.org/W7124959075"],"abstract_inverted_index":{"Autonomous":[0],"Driving":[1],"Systems":[2],"(ADS)":[3],"promise":[4],"safer":[5],"roads,":[6],"better":[7],"traffic":[8],"flow,":[9],"and":[10,80,127,194],"reduced":[11],"environmental":[12],"impact.":[13],"The":[14,42,136,153,198,242],"Society":[15],"of":[16,52,138,230,240],"Automotive":[17],"Engineers":[18],"(SAE)":[19],"International\u2019s":[20],"J3016":[21],"standard":[22],"[1]":[23],"stipulates":[24],"stringent":[25],"safety":[26],"requirements":[27],"for":[28,98,110,236],"ADS,":[29],"particularly":[30,165],"concerning":[31],"their":[32],"operational":[33],"behavior":[34],"during":[35],"dynamic":[36],"driving":[37],"task":[38,51,84],"performance-relevant":[39],"system":[40,222],"failures.":[41,223],"perception":[43,233],"task,":[44],"which":[45],"includes":[46],"the":[47,67,81,116,123,131,157,178,228,237],"fundamental":[48],"computer":[49,77],"vision":[50,78],"object":[53,82],"detection,":[54],"is":[55],"a":[56,63,144],"key":[57],"capability":[58],"that":[59,172,201],"distinguishes":[60],"ADS":[61,220],"from":[62],"\u201cregular\u201d":[64],"vehicle.":[65],"In":[66],"last":[68],"decade,":[69],"there":[70],"has":[71],"been":[72],"remarkable":[73],"progress":[74],"in":[75,85,150,161,166],"various":[76],"tasks,":[79],"detection":[83],"particular.":[86],"However,":[87],"many":[88],"contemporary":[89],"state-of-the-art":[90],"models":[91],"are":[92,173],"specialists,":[93],"with":[94,215],"strong":[95],"inductive":[96],"biases":[97],"specific":[99,185],"data":[100,196],"types,":[101],"making":[102],"them":[103],"difficult,":[104],"if":[105],"not":[106],"impossible,":[107],"to":[108,189,218,227],"use":[109],"ADS.":[111,241],"To":[112],"address":[113],"this":[114,151,182],"limitation,":[115],"thesis":[117],"introduces":[118],"two":[119],"novel":[120,145],"recurrent":[121],"architectures:":[122],"Recurrent":[124,132],"Perceiver":[125,133],"(RPerceiver)":[126],"its":[128],"multi-modal":[129],"variant,":[130],"Multi-Modal":[134],"(RPerceiverMM).":[135],"efficacy":[137],"these":[139,202],"architectures":[140],"was":[141,244],"evaluated":[142],"on":[143],"benchmark":[146],"dataset,":[147],"\u201ddetectionmoving-mnist-easy\u201d,":[148],"proposed":[149,158,203],"thesis.":[152],"experimental":[154],"results":[155],"suggest":[156],"models\u2019":[159],"effectiveness":[160],"leveraging":[162],"temporal":[163],"information,":[164],"challenging":[167],"cases":[168],"such":[169],"as":[170],"objects":[171],"partially":[174],"visible":[175],"while":[176],"leaving":[177],"video":[179],"frame.":[180],"Furthermore,":[181],"research":[183],"investigated":[184],"training":[186,204],"procedures":[187],"designed":[188],"simulate":[190],"complete":[191],"sensor":[192,221],"failures":[193],"non-deterministic":[195],"availability.":[197],"findings":[199],"indicate":[200],"strategies":[205],"significantly":[206],"improve":[207],"model":[208],"robustness,":[209],"demonstrating":[210],"enhanced":[211],"performance":[212],"when":[213],"faced":[214],"conditions":[216],"analogous":[217],"real-world":[219],"This":[224],"work":[225],"contributes":[226],"development":[229],"more":[231],"resilient":[232],"systems":[234],"crucial":[235],"safe":[238],"deployment":[239],"code":[243],"open-sourced":[245],"at":[246],"GitHub":[247],"1.":[248]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-12-10T00:00:00"}