{"id":"https://openalex.org/W7131214572","doi":"https://doi.org/10.1109/vcip67698.2025.11396884","title":"HPAFusion: 4D Radar and Camera Fusion with Hybrid Points Assistance for 3D Object Detection","display_name":"HPAFusion: 4D Radar and Camera Fusion with Hybrid Points Assistance for 3D Object Detection","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W7131214572","doi":"https://doi.org/10.1109/vcip67698.2025.11396884"},"language":null,"primary_location":{"id":"doi:10.1109/vcip67698.2025.11396884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip67698.2025.11396884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Visual Communications and Image Processing (VCIP)","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":null,"display_name":"Jiehui Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiehui Chen","raw_affiliation_strings":["State Key Laboratory of Ocean Sensing &amp; Ocean College, Zhejiang University,Zhoushan,China,316021"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Ocean Sensing &amp; Ocean College, Zhejiang University,Zhoushan,China,316021","institution_ids":["https://openalex.org/I31847773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046431529","display_name":"Fuyuan Ai","orcid":"https://orcid.org/0009-0005-7944-2913"},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuyuan Ai","raw_affiliation_strings":["State Key Laboratory of Ocean Sensing &amp; Ocean College, Zhejiang University,Zhoushan,China,316021"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Ocean Sensing &amp; Ocean College, Zhejiang University,Zhoushan,China,316021","institution_ids":["https://openalex.org/I31847773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126679956","display_name":"Zecheng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zecheng Li","raw_affiliation_strings":["State Key Laboratory of Ocean Sensing &amp; Ocean College, Zhejiang University,Zhoushan,China,316021"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Ocean Sensing &amp; Ocean College, Zhejiang University,Zhoushan,China,316021","institution_ids":["https://openalex.org/I31847773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026725390","display_name":"Yuchen Tan","orcid":"https://orcid.org/0000-0002-2014-5886"},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Tan","raw_affiliation_strings":["State Key Laboratory of Ocean Sensing &amp; Ocean College, Zhejiang University,Zhoushan,China,316021"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Ocean Sensing &amp; Ocean College, Zhejiang University,Zhoushan,China,316021","institution_ids":["https://openalex.org/I31847773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067294042","display_name":"Chunyi Song","orcid":"https://orcid.org/0000-0002-3274-6806"},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyi Song","raw_affiliation_strings":["State Key Laboratory of Ocean Sensing &amp; Ocean College, Zhejiang University,Zhoushan,China,316021"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Ocean Sensing &amp; Ocean College, Zhejiang University,Zhoushan,China,316021","institution_ids":["https://openalex.org/I31847773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085919136","display_name":"Zhiwei Xu","orcid":"https://orcid.org/0000-0002-8630-1204"},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Xu","raw_affiliation_strings":["State Key Laboratory of Ocean Sensing &amp; Ocean College, Zhejiang University,Zhoushan,China,316021"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Ocean Sensing &amp; Ocean College, Zhejiang University,Zhoushan,China,316021","institution_ids":["https://openalex.org/I31847773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79858271,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.22429999709129333,"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":0.22429999709129333,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0771000012755394,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.04989999905228615,"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/object-detection","display_name":"Object detection","score":0.5612000226974487},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5299999713897705},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5058000087738037},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5006999969482422},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44769999384880066},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4406000077724457},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.43720000982284546},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.39010000228881836}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7885000109672546},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7840999960899353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.698199987411499},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5612000226974487},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5299999713897705},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5058000087738037},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5006999969482422},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44769999384880066},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4406000077724457},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.43720000982284546},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.39010000228881836},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3474000096321106},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2669000029563904},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.26190000772476196},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip67698.2025.11396884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip67698.2025.11396884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2963727135","https://openalex.org/W2968296999","https://openalex.org/W3109395584","https://openalex.org/W4210674219","https://openalex.org/W4281821179","https://openalex.org/W4308080461","https://openalex.org/W4312336128","https://openalex.org/W4312815172","https://openalex.org/W4362009298","https://openalex.org/W4378696925","https://openalex.org/W4382469124","https://openalex.org/W4383066393","https://openalex.org/W4386065453","https://openalex.org/W4386075553","https://openalex.org/W4387951294","https://openalex.org/W4390938937","https://openalex.org/W4400648230","https://openalex.org/W4400649817","https://openalex.org/W4401416274","https://openalex.org/W4405179189","https://openalex.org/W4405429257","https://openalex.org/W4406983055","https://openalex.org/W4408352647","https://openalex.org/W4409370089"],"related_works":[],"abstract_inverted_index":{"4D":[0,79],"millimeter-wave":[1],"radar":[2,29,61,80,174],"has":[3],"attracted":[4],"significant":[5],"research":[6],"interest":[7],"in":[8,18,59,70,123],"3D":[9,88],"object":[10,89],"detection":[11],"for":[12,87,145],"autonomous":[13],"driving":[14],"as":[15],"its":[16],"stability":[17],"adverse":[19],"conditions.":[20],"However,":[21],"the":[22,28,49,60,71,95,106,121,130,138,159],"sparsity":[23],"and":[24,56,63,81,110,114,142,149,161,173,179],"noise":[25],"nature":[26],"of":[27,51],"hinders":[30],"their":[31,67],"performance.":[32],"The":[33,153],"virtual-points-based":[34],"methods":[35],"with":[36,175],"radar-camera":[37],"fusion":[38,83],"may":[39],"alleviate":[40],"these":[41,44],"limitations.":[42],"Nevertheless,":[43],"approaches":[45],"primarily":[46],"focus":[47],"on":[48,158],"role":[50],"hybrid":[52,103,176],"points":[53,104,115,177],"(including":[54],"virtual":[55],"raw":[57],"points)":[58],"branch":[62],"fail":[64],"to":[65,119],"exploit":[66],"full":[68],"potential":[69],"image":[72,107,122],"branch.":[73],"Hence,":[74],"we":[75,92,128],"introduce":[76],"a":[77],"novel":[78],"camera":[82,172],"network,":[84],"named":[85],"HPAFusion":[86,155,169],"detection.":[90],"Specifically,":[91],"first":[93],"propose":[94],"Hybrid":[96],"Points-assisted":[97],"Depth":[98],"Net":[99],"(HPDN),":[100],"which":[101,136],"projects":[102],"onto":[105],"coordinate":[108],"system":[109],"uses":[111],"voxel":[112],"grids":[113],"backbone":[116],"encoding":[117],"them":[118],"assist":[120],"obtaining":[124],"depth":[125],"information.":[126],"Then,":[127],"present":[129],"Dual":[131],"Attention":[132],"Fusion":[133],"Module":[134],"(DAFM),":[135],"employs":[137],"uniform":[139],"channel":[140],"attention":[141,144],"spatial":[143],"facilitating":[146],"cross-modal":[147],"interaction":[148],"improving":[150],"fused":[151],"features.":[152],"proposed":[154],"is":[156],"validated":[157],"TJ4DRadSet":[160],"View-of-Delft":[162],"(VoD)":[163],"datasets.":[164],"Experimental":[165],"results":[166],"demonstrate":[167],"that":[168],"effectively":[170],"fuses":[171],"assistance":[178],"outperforms":[180],"state-of-the-art":[181],"approaches.":[182]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-25T00:00:00"}
