{"id":"https://openalex.org/W4405305945","doi":"https://doi.org/10.1109/dtpi61353.2024.10778707","title":"ERC-Fusion: Fusing Enhanced 4D Radar and Camera for 3D Object Detection","display_name":"ERC-Fusion: Fusing Enhanced 4D Radar and Camera for 3D Object Detection","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4405305945","doi":"https://doi.org/10.1109/dtpi61353.2024.10778707"},"language":"en","primary_location":{"id":"doi:10.1109/dtpi61353.2024.10778707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi61353.2024.10778707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence (DTPI)","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/A5101644318","display_name":"Lili Fan","orcid":"https://orcid.org/0000-0002-8767-7123"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lili Fan","raw_affiliation_strings":["Beijing Institute of Technology,School of Automation,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Automation,Beijing,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695179","display_name":"Junhao Wang","orcid":"https://orcid.org/0000-0001-7357-429X"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Wang","raw_affiliation_strings":["Dalian Minzu University,School of Science,Dalian,China"],"affiliations":[{"raw_affiliation_string":"Dalian Minzu University,School of Science,Dalian,China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631521","display_name":"Yutong Wang","orcid":"https://orcid.org/0000-0001-7429-031X"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutong Wang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation,Beijing,China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034089388","display_name":"Zonglin Meng","orcid":"https://orcid.org/0000-0002-0592-0135"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zonglin Meng","raw_affiliation_strings":["University of California,Department of Civil and Environmental Engineering,Los Angeles,CA,USA"],"affiliations":[{"raw_affiliation_string":"University of California,Department of Civil and Environmental Engineering,Los Angeles,CA,USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031991761","display_name":"Dongpu Cao","orcid":"https://orcid.org/0000-0001-7929-4336"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongpu Cao","raw_affiliation_strings":["Tsinghua University,State Key Laboratory of Intelligent Green Vehicle and Mobility,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,State Key Laboratory of Intelligent Green Vehicle and Mobility,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101644318"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12621165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"45","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9793999791145325,"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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9793999791145325,"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.958299994468689,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7414159178733826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7107714414596558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6145473718643188},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5807958245277405},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5296767950057983},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4787125587463379},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.466659277677536},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.46631890535354614},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44876667857170105},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4445624351501465},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.21336999535560608},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11356866359710693}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7414159178733826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7107714414596558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6145473718643188},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5807958245277405},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5296767950057983},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4787125587463379},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.466659277677536},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.46631890535354614},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44876667857170105},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4445624351501465},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.21336999535560608},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11356866359710693},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dtpi61353.2024.10778707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi61353.2024.10778707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence (DTPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2963727135","https://openalex.org/W2967324759","https://openalex.org/W2968296999","https://openalex.org/W4206096906","https://openalex.org/W4210674219","https://openalex.org/W4292559694","https://openalex.org/W4376456387","https://openalex.org/W4379386160","https://openalex.org/W4387245323","https://openalex.org/W4387790178","https://openalex.org/W4389610082","https://openalex.org/W4390145037","https://openalex.org/W4390457454","https://openalex.org/W4391305640","https://openalex.org/W4393032756","https://openalex.org/W4394828176","https://openalex.org/W4395007713","https://openalex.org/W4395028091","https://openalex.org/W6769571200"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3214791684","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872"],"abstract_inverted_index":{"In":[0],"autonomous":[1],"driving,":[2],"the":[3,43,50,70,99,107,128,142,147,157],"fusion":[4,60,117],"of":[5,52,63,72,101,109,144,160],"camera":[6],"and":[7,17,22,37,46,66,105,136,164],"4D":[8],"millimeter-wave":[9],"radar":[10,31,161],"point":[11,53,93,103,162],"clouds":[12,54,104,163],"significantly":[13],"enhances":[14],"perception":[15],"robustness":[16],"accuracy":[18,71],"in":[19,61],"harsh":[20],"environments":[21],"off-road":[23],"scenarios":[24],"by":[25],"combining":[26],"high-resolution":[27],"vision":[28],"with":[29],"precise":[30],"data.":[32],"This":[33],"improves":[34],"target":[35,134],"detection":[36,173],"environment":[38],"modeling":[39],"capabilities,":[40],"thereby":[41,169],"ensuring":[42],"vehicle\u2019s":[44],"safe":[45],"efficient":[47],"operation.":[48],"However,":[49],"sparsity":[51,158],"presents":[55],"significant":[56],"challenges":[57],"for":[58],"multimodal":[59],"terms":[62],"data":[64,130,138],"density":[65,100],"resolution":[67],"matching,":[68],"affecting":[69],"environmental":[73],"perception.":[74],"To":[75],"address":[76],"this":[77],"issue,":[78],"we":[79,89,112],"have":[80],"built":[81],"a":[82,91,114],"framework":[83],"called":[84],"ERC-Fusion,":[85],"which":[86,120],"specifically":[87],"includes:":[88],"designed":[90],"KNN-based":[92],"cloud":[94],"augmentation":[95],"algorithm":[96],"to":[97,131],"enhance":[98],"sparse":[102,122],"increase":[106],"amount":[108],"information.":[110],"Additionally,":[111],"developed":[113],"double-voxel":[115],"feature":[116],"enhancement":[118],"module,":[119],"constructs":[121],"voxels":[123],"at":[124],"different":[125],"scales":[126],"from":[127],"raw":[129],"capture":[132],"detailed":[133,167],"features":[135],"reduce":[137],"noise.":[139],"We":[140],"validated":[141],"performance":[143],"ERC-Fusion":[145,154],"on":[146],"View-of-Delft":[148],"dataset.":[149],"Experimental":[150],"results":[151],"show":[152],"that":[153],"effectively":[155],"alleviates":[156],"issue":[159],"successfully":[165],"extracts":[166],"features,":[168],"improving":[170],"3D":[171],"object":[172],"performance.":[174]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
