{"id":"https://openalex.org/W7160982895","doi":"https://doi.org/10.48550/arxiv.2605.11799","title":"SB-BEVFusion: Enhancing the Robustness against Sensor Malfunction and Corruptions","display_name":"SB-BEVFusion: Enhancing the Robustness against Sensor Malfunction and Corruptions","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7160982895","doi":"https://doi.org/10.48550/arxiv.2605.11799"},"language":"en","primary_location":{"id":"pmh:oai:epub.jku.at/:13845679","is_oa":false,"landing_page_url":"https://resolver.obvsg.at/urn:nbn:at:at-ubl:1-102532","pdf_url":null,"source":{"id":"https://openalex.org/S4306401788","display_name":"University Library Linz repository (Johannes Kepler Universitat Linz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I121883995","host_organization_name":"Johannes Kepler University of Linz","host_organization_lineage":["https://openalex.org/I121883995"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"type":"dissertation","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.11799","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136059959","display_name":"Markus Essl","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Essl, Markus","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102755522","display_name":"Marta Moscati","orcid":"https://orcid.org/0000-0002-5541-4919"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moscati, Marta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020931012","display_name":"Mubashir Noman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noman, Mubashir","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004839726","display_name":"Muhammad Zaigham Zaheer","orcid":"https://orcid.org/0000-0001-8272-1351"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zaheer, Muhammad Zaigham","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136055204","display_name":"Usman Naseem","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naseem, Usman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136036372","display_name":"Shah Nawaz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nawaz, Shah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5091259315","display_name":"Markus Schedl","orcid":"https://orcid.org/0000-0003-1706-3406"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schedl, Markus","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":false,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.7872999906539917,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7872999906539917,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.03400000184774399,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.026499999687075615,"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/robustness","display_name":"Robustness (evolution)","score":0.8093000054359436},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6583999991416931},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6363999843597412},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5309000015258789},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5246999859809875},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4472000002861023},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.40220001339912415}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8093000054359436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.723800003528595},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6583999991416931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6460000276565552},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6363999843597412},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6226000189781189},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5309000015258789},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5246999859809875},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4472000002861023},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.40220001339912415},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.3644999861717224},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.362199991941452},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.3440000116825104},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.3375999927520752},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C3018868555","wikidata":"https://www.wikidata.org/wiki/Q2918907","display_name":"Single camera","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.251800000667572}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:epub.jku.at/:13845679","is_oa":false,"landing_page_url":"https://resolver.obvsg.at/urn:nbn:at:at-ubl:1-102532","pdf_url":null,"source":{"id":"https://openalex.org/S4306401788","display_name":"University Library Linz repository (Johannes Kepler Universitat Linz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I121883995","host_organization_name":"Johannes Kepler University of Linz","host_organization_lineage":["https://openalex.org/I121883995"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"doi:10.48550/arxiv.2605.11799","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11799","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.11799","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11799","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.8206794857978821,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"sensor":[1,155,173],"fusion":[2,71],"has":[3],"demonstrated":[4],"remarkable":[5],"performance":[6,51,135,161],"improvements":[7,136],"over":[8],"unimodal":[9],"approaches":[10,149],"in":[11,43,103,162],"3D":[12,116],"object":[13,117],"detection":[14],"for":[15,39,73,80,115],"autonomous":[16],"vehicles.":[17],"Typically,":[18],"existing":[19,146],"methods":[20],"transform":[21],"multimodal":[22],"data":[23,57,77,114],"from":[24,49],"independent":[25],"sensors,":[26],"such":[27],"as":[28],"camera":[29,54,74,111],"and":[30,75,112,141,158,172],"LiDAR,":[31],"into":[32],"a":[33,69,106,151],"unified":[34,147],"bird's-eye":[35],"view":[36],"(BEV)":[37],"representation":[38,148],"fusion.":[40],"Although":[41],"effective":[42],"ideal":[44],"conditions,":[45],"this":[46,65],"strategy":[47],"suffers":[48],"substantial":[50],"deterioration":[52,156],"when":[53,83],"or":[55,61,91],"LiDAR":[56,76,113],"are":[58],"missing,":[59],"corrupted,":[60],"noisy.":[62],"To":[63,93],"address":[64],"vulnerability,":[66],"we":[67,100,128],"develop":[68],"framework-agnostic":[70],"module":[72,132],"that":[78,130],"allows":[79],"handling":[81],"cases":[82],"one":[84],"of":[85,97,121,139,154,164],"the":[86,95,125],"two":[87],"modalities":[88],"is":[89],"missing":[90,140],"corrupted.":[92],"demonstrate":[94,129],"effectiveness":[96],"our":[98,131],"module,":[99],"instantiate":[101],"it":[102],"BEVFusion":[104],"[1],":[105],"well-established":[107],"framework":[108],"to":[109,168],"combine":[110],"detection.":[118],"By":[119],"means":[120],"quantitative":[122],"experiments":[123],"on":[124],"MultiCorrupt":[126],"dataset,":[127],"achieves":[133],"favorable":[134],"under":[137],"scenarios":[138,157,163],"corrupted":[142,165],"modalities,":[143],"substantially":[144],"outperforming":[145],"across":[150],"wide":[152],"range":[153],"reaching":[159],"state-of-the-art":[160],"modality":[166],"due":[167],"extreme":[169],"weather":[170],"conditions":[171],"failure.":[174]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2026-05-14T00:00:00"}