{"id":"https://openalex.org/W4312511033","doi":"https://doi.org/10.1109/iros47612.2022.9982123","title":"InterFusion: Interaction-based 4D Radar and LiDAR Fusion for 3D Object Detection","display_name":"InterFusion: Interaction-based 4D Radar and LiDAR Fusion for 3D Object Detection","publication_year":2022,"publication_date":"2022-10-23","ids":{"openalex":"https://openalex.org/W4312511033","doi":"https://doi.org/10.1109/iros47612.2022.9982123"},"language":"en","primary_location":{"id":"doi:10.1109/iros47612.2022.9982123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9982123","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5035406850","display_name":"Li Wang","orcid":"https://orcid.org/0000-0002-9325-2391"},"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":true,"raw_author_name":"Li Wang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China","State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390719","display_name":"Xinyu Zhang","orcid":"https://orcid.org/0000-0003-0034-9037"},"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":"Xinyu Zhang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China","State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054021570","display_name":"Baowei Xv","orcid":null},"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":"Baowei Xv","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China","State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030488900","display_name":"Jinzhao Zhang","orcid":"https://orcid.org/0000-0001-8552-9517"},"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":"Jinzhao Zhang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China","State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101404590","display_name":"Rong Fu","orcid":"https://orcid.org/0000-0001-5528-7115"},"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":"Rong Fu","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China","State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357579","display_name":"Xiaoyu Wang","orcid":"https://orcid.org/0000-0002-0213-5342"},"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":"Xiaoyu Wang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China","State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380606","display_name":"Lei Zhu","orcid":"https://orcid.org/0000-0002-0191-7086"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Zhu","raw_affiliation_strings":["Mogo Auto Intelligence and Telemetics Information Technology Co. Ltd"],"affiliations":[{"raw_affiliation_string":"Mogo Auto Intelligence and Telemetics Information Technology Co. Ltd","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764066","display_name":"Haibing Ren","orcid":"https://orcid.org/0009-0002-5751-7062"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haibing Ren","raw_affiliation_strings":["Meituan Inc"],"affiliations":[{"raw_affiliation_string":"Meituan Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070739275","display_name":"Pingping Lu","orcid":"https://orcid.org/0000-0003-1486-7580"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pingping Lu","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361975","display_name":"Jun Li","orcid":"https://orcid.org/0000-0002-8937-3991"},"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":"Jun Li","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China","State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041101317","display_name":"Huaping Liu","orcid":"https://orcid.org/0000-0002-4042-6044"},"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":"Huaping Liu","raw_affiliation_strings":["Tsinghua University,State Key Laboratory of Intelligent Technology and Systems,Department of Computer Science and Technology,Beijing,China","Department of Computer Science and Technology, State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,State Key Laboratory of Intelligent Technology and Systems,Department of Computer Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Computer Science and Technology, State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5035406850"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.3881,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.92450153,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"12247","last_page":"12253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9941999912261963,"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/lidar","display_name":"Lidar","score":0.9198368787765503},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.7201826572418213},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.7046295404434204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.692603588104248},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5972799062728882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.562310516834259},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5058116912841797},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.47176817059516907},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.46783769130706787},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4507267475128174},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4476350247859955},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42897891998291016},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4228050708770752},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.41783973574638367},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.41670089960098267},{"id":"https://openalex.org/keywords/radar-engineering-details","display_name":"Radar engineering details","score":0.4100992977619171},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.18259742856025696},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14964649081230164},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14162737131118774},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0813281238079071}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.9198368787765503},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.7201826572418213},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.7046295404434204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692603588104248},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5972799062728882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.562310516834259},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5058116912841797},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.47176817059516907},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.46783769130706787},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4507267475128174},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4476350247859955},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42897891998291016},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4228050708770752},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.41783973574638367},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.41670089960098267},{"id":"https://openalex.org/C134406370","wikidata":"https://www.wikidata.org/wiki/Q832005","display_name":"Radar engineering details","level":4,"score":0.4100992977619171},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18259742856025696},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14964649081230164},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14162737131118774},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0813281238079071},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros47612.2022.9982123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9982123","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5819421476","display_name":null,"funder_award_id":"U1964203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6329270997","display_name":null,"funder_award_id":"2021M691780","funder_id":"https://openalex.org/F4320322392","funder_display_name":"Tsinghua University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1914646313","https://openalex.org/W2115579991","https://openalex.org/W2184393491","https://openalex.org/W2344934580","https://openalex.org/W2468368736","https://openalex.org/W2473644495","https://openalex.org/W2555618208","https://openalex.org/W2560544142","https://openalex.org/W2560609797","https://openalex.org/W2872491670","https://openalex.org/W2897529137","https://openalex.org/W2949708697","https://openalex.org/W2953941229","https://openalex.org/W2963182550","https://openalex.org/W2963351448","https://openalex.org/W2963400571","https://openalex.org/W2963727135","https://openalex.org/W2964166085","https://openalex.org/W2968296999","https://openalex.org/W2981523139","https://openalex.org/W2989604896","https://openalex.org/W3002557610","https://openalex.org/W3008115128","https://openalex.org/W3034314779","https://openalex.org/W3098410961","https://openalex.org/W3111535274","https://openalex.org/W3117804044","https://openalex.org/W3118132944","https://openalex.org/W3126830741","https://openalex.org/W3129248413","https://openalex.org/W3153465022","https://openalex.org/W3200654317","https://openalex.org/W4285143077","https://openalex.org/W6686211706","https://openalex.org/W6771922894"],"related_works":["https://openalex.org/W4285814362","https://openalex.org/W4352982730","https://openalex.org/W2438042271","https://openalex.org/W2027415419","https://openalex.org/W1998503825","https://openalex.org/W3207185864","https://openalex.org/W4296425733","https://openalex.org/W3127689436","https://openalex.org/W2892233029","https://openalex.org/W2309517819"],"abstract_inverted_index":{"Many":[0],"recent":[1,43],"works":[2],"detect":[3],"3D":[4,146],"objects":[5],"by":[6,95,142],"several":[7],"sensor":[8],"modalities":[9,118],"for":[10,90,151],"autonomous":[11],"driving,":[12],"where":[13],"high-resolution":[14],"cameras":[15],"and":[16,32,49,119,125,147],"high-line":[17],"LiDARs":[18],"are":[19],"mostly":[20],"used":[21],"but":[22],"relatively":[23],"expensive.":[24],"To":[25],"achieve":[26],"a":[27],"balance":[28],"between":[29,123],"overall":[30],"cost":[31],"detection":[33],"accuracy,":[34],"many":[35],"multi-modal":[36],"fusion":[37,46,104],"techniques":[38],"have":[39,71],"been":[40,72],"suggested.":[41],"In":[42,128],"years,":[44],"the":[45,96,132,140,152,156],"of":[47],"LiDAR":[48,109,126],"Radar":[50,124],"has":[51],"gained":[52],"ever-increasing":[53],"attention,":[54],"especially":[55],"4D":[56,111],"Radar,":[57],"which":[58,86],"can":[59],"adapt":[60],"to":[61,66,106],"bad":[62],"weather":[63],"conditions":[64],"due":[65],"its":[67],"penetrability.":[68],"Although":[69],"features":[70,115],"fused":[73],"from":[74,83,116],"multiple":[75],"sensing":[76],"modalities,":[77,85],"most":[78],"methods":[79],"cannot":[80],"learn":[81],"interactions":[82],"different":[84],"does":[87],"not":[88],"make":[89],"their":[91],"best":[92],"use.":[93],"Inspired":[94],"self-attention":[97],"mechanism,":[98],"we":[99],"present":[100],"InterFusion,":[101],"an":[102],"interaction-based":[103],"framework,":[105],"fuse":[107],"16-line":[108],"with":[110],"Radar.":[112],"It":[113],"aggregates":[114],"two":[117],"identifies":[120],"cross-modal":[121],"relations":[122],"features.":[127],"experimental":[129],"evaluations":[130],"on":[131],"Astyx":[133],"HiRes":[134],"2019":[135],"dataset,":[136],"our":[137],"method":[138],"outperformed":[139],"baseline":[141],"4.20%":[143],"mAP":[144,150],"in":[145],"10.76%":[148],"BEV":[149],"car":[153],"class":[154],"at":[155],"moderate":[157],"level.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":7}],"updated_date":"2026-04-07T14:57:38.498316","created_date":"2025-10-10T00:00:00"}
