{"id":"https://openalex.org/W4413018041","doi":"https://doi.org/10.1109/iv64158.2025.11097758","title":"FADet: A Multi-sensor 3D Object Detection Network based on Local Featured Attention","display_name":"FADet: A Multi-sensor 3D Object Detection Network based on Local Featured Attention","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4413018041","doi":"https://doi.org/10.1109/iv64158.2025.11097758"},"language":"en","primary_location":{"id":"doi:10.1109/iv64158.2025.11097758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv64158.2025.11097758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Intelligent Vehicles Symposium (IV)","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/A5113173807","display_name":"Ziang Guo","orcid":"https://orcid.org/0009-0007-7322-8865"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ziang Guo","raw_affiliation_strings":["Center for Digital Engineering, Skolkovo Institute of Science and Technology,Intelligent Space Robotics Laboratory,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Digital Engineering, Skolkovo Institute of Science and Technology,Intelligent Space Robotics Laboratory,Moscow,Russia","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097424597","display_name":"Zakhar Yagudin","orcid":null},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Zakhar Yagudin","raw_affiliation_strings":["Center for Digital Engineering, Skolkovo Institute of Science and Technology,Intelligent Space Robotics Laboratory,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Digital Engineering, Skolkovo Institute of Science and Technology,Intelligent Space Robotics Laboratory,Moscow,Russia","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098748991","display_name":"Selamawit Asfaw","orcid":null},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Selamawit Asfaw","raw_affiliation_strings":["Center for Digital Engineering, Skolkovo Institute of Science and Technology,Intelligent Space Robotics Laboratory,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Digital Engineering, Skolkovo Institute of Science and Technology,Intelligent Space Robotics Laboratory,Moscow,Russia","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059197603","display_name":"Artem Lykov","orcid":"https://orcid.org/0000-0001-6119-2366"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Artem Lykov","raw_affiliation_strings":["Center for Digital Engineering, Skolkovo Institute of Science and Technology,Intelligent Space Robotics Laboratory,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Digital Engineering, Skolkovo Institute of Science and Technology,Intelligent Space Robotics Laboratory,Moscow,Russia","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056458774","display_name":"Dzmitry Tsetserukou","orcid":"https://orcid.org/0000-0001-8055-5345"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dzmitry Tsetserukou","raw_affiliation_strings":["Center for Digital Engineering, Skolkovo Institute of Science and Technology,Intelligent Space Robotics Laboratory,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Digital Engineering, Skolkovo Institute of Science and Technology,Intelligent Space Robotics Laboratory,Moscow,Russia","institution_ids":["https://openalex.org/I125989756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125989756"],"apc_list":null,"apc_paid":null,"fwci":2.6469,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.90623491,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"202","last_page":"208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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":0.9983999729156494,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11448","display_name":"Face recognition and analysis","score":0.9839000105857849,"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/computer-science","display_name":"Computer science","score":0.7502295970916748},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47611814737319946},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47026878595352173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3161993622779846},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.11557045578956604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7502295970916748},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47611814737319946},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47026878595352173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3161993622779846},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.11557045578956604}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv64158.2025.11097758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv64158.2025.11097758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1267233886","display_name":null,"funder_award_id":"24-41-02039","funder_id":"https://openalex.org/F4320306201","funder_display_name":"Russell Sage Foundation"}],"funders":[{"id":"https://openalex.org/F4320306201","display_name":"Russell Sage Foundation","ror":"https://ror.org/02yh9se80"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2565639579","https://openalex.org/W2884561390","https://openalex.org/W2945574898","https://openalex.org/W2955058313","https://openalex.org/W2963727135","https://openalex.org/W2968296999","https://openalex.org/W3035574168","https://openalex.org/W3096609285","https://openalex.org/W3105073457","https://openalex.org/W3119205652","https://openalex.org/W3175630421","https://openalex.org/W4214558638","https://openalex.org/W4285102319","https://openalex.org/W4312437143","https://openalex.org/W4312707458","https://openalex.org/W4313028649","https://openalex.org/W4319020024","https://openalex.org/W4380355634","https://openalex.org/W4383066393","https://openalex.org/W4384130825","https://openalex.org/W4385804883","https://openalex.org/W4385844749","https://openalex.org/W4387573396","https://openalex.org/W4390873371","https://openalex.org/W6802311648","https://openalex.org/W6838873368"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4312842780","https://openalex.org/W2883677709","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Camera,":[0],"LiDAR,":[1],"and":[2,140,146,166,181],"radar":[3,125,147],"are":[4],"common":[5],"perception":[6],"sensors":[7,39,46,84],"for":[8,122],"autonomous":[9],"driving":[10],"tasks.":[11],"Robust":[12],"prediction":[13],"of":[14,24,29,37,82,88,124],"3D":[15,74],"object":[16,160,175],"detection":[17,75,136,161,176],"is":[18,114,120],"optimally":[19],"based":[20,92],"on":[21,93,158,173],"the":[22,60,80,86,111,117,150,170],"fusion":[23],"these":[25,38],"sensors.":[26],"Taking":[27],"advantage":[28],"their":[30,51,89],"abilities":[31],"remains":[32],"a":[33,72,104],"challenge,":[34],"because":[35],"each":[36],"has":[40,134],"its":[41],"own":[42],"characteristics.":[43],"Specifically,":[44],"different":[45,48,64,83],"present":[47],"scales":[49],"in":[50,63,66,138],"corresponding":[52],"extracted":[53],"features.":[54],"To":[55],"address":[56],"this":[57,67],"problem,":[58],"considering":[59],"feature":[61],"alignment":[62],"scales,":[65],"paper,":[68],"we":[69,102],"propose":[70,103],"FADet,":[71],"multi-sensor":[73],"network,":[76],"which":[77],"specifically":[78],"studies":[79],"characteristics":[81],"across":[85],"dimensions":[87],"data":[90],"input":[91],"our":[94,132],"local":[95,128],"featured":[96,129],"attention":[97,130],"modules.":[98],"For":[99,107],"camera":[100],"images,":[101],"dual-attention-based":[105],"submodule.":[106],"LiDAR":[108,145],"point":[109],"clouds,":[110],"triple-attention-based":[112],"submodule":[113,119],"utilized,":[115],"while":[116],"mixed-attention-based":[118],"applied":[121],"features":[123],"points.":[126],"With":[127],"submodules,":[131],"FADet":[133,154],"effective":[135],"results":[137],"long-tail":[139],"complex":[141],"scenes":[142],"from":[143],"camera,":[144],"input.":[148],"In":[149],"NuScenes":[151],"validation":[152],"dataset,":[153],"achieves":[155],"state-of-the-art":[156],"performance":[157],"LiDAR-camera":[159],"tasks":[162,177],"with":[163,178],"71.8%":[164],"NDS":[165,180],"69.0%":[167],"mAP,":[168],"at":[169],"same":[171],"time,":[172],"radar-camera":[174],"51.7%":[179],"40.3%":[182],"mAP.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
