{"id":"https://openalex.org/W4411950398","doi":"https://doi.org/10.1109/vnc64509.2025.11054250","title":"Poster: A V2X-Enhanced 360-Degree 4D Perception for Occlusion-Free Autonomous Driving","display_name":"Poster: A V2X-Enhanced 360-Degree 4D Perception for Occlusion-Free Autonomous Driving","publication_year":2025,"publication_date":"2025-06-02","ids":{"openalex":"https://openalex.org/W4411950398","doi":"https://doi.org/10.1109/vnc64509.2025.11054250"},"language":"en","primary_location":{"id":"doi:10.1109/vnc64509.2025.11054250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vnc64509.2025.11054250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Vehicular Networking Conference (VNC)","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/A5054973244","display_name":"Faisal Hawlader","orcid":"https://orcid.org/0000-0002-9870-0130"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":true,"raw_author_name":"Faisal Hawlader","raw_affiliation_strings":["Interdisciplinary Center for Security, Reliability and Trust (SnT) University of Luxembourg,Luxembourg,L-1855"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Center for Security, Reliability and Trust (SnT) University of Luxembourg,Luxembourg,L-1855","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074958289","display_name":"Gamal Elghazaly","orcid":"https://orcid.org/0000-0001-8831-9785"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Gamal Elghazaly","raw_affiliation_strings":["Interdisciplinary Center for Security, Reliability and Trust (SnT) University of Luxembourg,Luxembourg,L-1855"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Center for Security, Reliability and Trust (SnT) University of Luxembourg,Luxembourg,L-1855","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009044318","display_name":"Rapha\u00ebl Frank","orcid":"https://orcid.org/0000-0001-8239-2041"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Rapha\u00ebl Frank","raw_affiliation_strings":["Interdisciplinary Center for Security, Reliability and Trust (SnT) University of Luxembourg,Luxembourg,L-1855"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Center for Security, Reliability and Trust (SnT) University of Luxembourg,Luxembourg,L-1855","institution_ids":["https://openalex.org/I186903577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054973244"],"corresponding_institution_ids":["https://openalex.org/I186903577"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.176022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9904000163078308,"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":0.9904000163078308,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9864000082015991,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9585000276565552,"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/degree","display_name":"Degree (music)","score":0.7097420692443848},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.67777419090271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6199311017990112},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.4172951579093933},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3859393298625946},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14082741737365723},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07012078166007996},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06477898359298706},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.06466951966285706},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.060469627380371094}],"concepts":[{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.7097420692443848},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.67777419090271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6199311017990112},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.4172951579093933},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3859393298625946},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14082741737365723},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07012078166007996},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06477898359298706},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.06466951966285706},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.060469627380371094},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vnc64509.2025.11054250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vnc64509.2025.11054250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Vehicular Networking Conference (VNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W3035574168","https://openalex.org/W4312894406","https://openalex.org/W6810001583"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2399035783","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W3161230432","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Autonomous":[0],"vehicles":[1,12],"face":[2],"critical":[3],"perception":[4,49],"challenges,":[5],"when":[6],"objects":[7,91],"such":[8,19],"as":[9,20],"pedestrians":[10],"or":[11],"are":[13],"hidden":[14],"behind":[15],"obstacles.":[16],"Transformer-based":[17],"models,":[18],"BEVDet4D,":[21],"achieve":[22],"robust":[23],"360-Degree":[24,141],"4D":[25,142],"object":[26,64,143],"detection":[27,103,144],"by":[28,59],"leveraging":[29],"multi-camera":[30],"inputs.":[31],"However,":[32],"their":[33],"performance":[34],"significantly":[35],"deteriorates":[36],"for":[37,90],"occluded":[38],"objects.":[39],"To":[40,125],"overcome":[41],"this":[42,128],"limitation,":[43],"we":[44],"propose":[45],"V2X-BEVDet4D,":[46],"a":[47,82,111,139],"cooperative":[48],"framework":[50,132],"built":[51],"on":[52],"BEVDet4D.":[53],"It":[54],"enhances":[55],"the":[56,97,122,130],"base":[57],"model":[58],"fusing":[60],"its":[61],"outputs":[62],"with":[63],"detections":[65],"from":[66,96],"roadside":[67],"infrastructure,":[68],"transmitted":[69],"via":[70],"ETSI-compliant":[71,135],"Cooperative":[72],"Perception":[73],"Messages":[74],"(CPMs)":[75],"over":[76],"ITS-G5.":[77],"Results":[78],"show":[79],"up":[80],"to":[81,133],"183%":[83],"improvement":[84],"in":[85],"nuScenes":[86],"Detection":[87],"Score":[88],"(NDS)":[89],"located":[92],"100":[93],"m":[94],"away":[95],"vehicle,":[98],"precisely":[99],"where":[100],"standalone":[101],"BEVDet4D":[102],"is":[104,129],"most":[105],"limited.":[106],"Preliminary":[107],"results":[108],"also":[109],"demonstrate":[110],"CPM":[112],"transmission":[113],"latency":[114],"of":[115],"3.44":[116],"ms":[117,119],"(\u00b11.3":[118],"std),":[120],"confirming":[121],"real-time":[123],"feasibility.":[124],"our":[126],"knowledge,":[127],"first":[131],"fuse":[134],"V2X":[136],"messages":[137],"into":[138],"BEV-based":[140],"pipeline,":[145],"enabling":[146],"temporal":[147],"consistency":[148],"across":[149],"frames.":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
