{"id":"https://openalex.org/W4408696856","doi":"https://doi.org/10.1109/itsc58415.2024.10919654","title":"DenserRadar: A 4D Millimeter-Wave Radar Point Cloud Detector Based on Dense LiDAR Point Clouds","display_name":"DenserRadar: A 4D Millimeter-Wave Radar Point Cloud Detector Based on Dense LiDAR Point Clouds","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408696856","doi":"https://doi.org/10.1109/itsc58415.2024.10919654"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10919654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","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/A5024877525","display_name":"Zeyu Han","orcid":"https://orcid.org/0000-0003-1150-4776"},"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":"Zeyu Han","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103036367","display_name":"Junkai Jiang","orcid":"https://orcid.org/0000-0003-3710-077X"},"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":"Junkai Jiang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072887931","display_name":"Xiaokang Ding","orcid":"https://orcid.org/0000-0002-6705-4148"},"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":"Xiaokang Ding","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329216","display_name":"Jiahao Wang","orcid":"https://orcid.org/0000-0002-3103-1411"},"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":"Jiahao Wang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102071703","display_name":"Qingwen Meng","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":"Qingwen Meng","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011184498","display_name":"Shaobing Xu","orcid":"https://orcid.org/0000-0002-4127-2411"},"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":"Shaobing Xu","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100584230","display_name":"Lei He","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":"Lei He","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100436368","display_name":"Jianqiang Wang","orcid":"https://orcid.org/0000-0003-4363-6108"},"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":"Jianqiang Wang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5024877525"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.8746,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72162431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"930","last_page":"936"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9944000244140625,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9373999834060669,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.824344277381897},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.6657385230064392},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6404127478599548},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5493502616882324},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5472493171691895},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5382944941520691},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5104324221611023},{"id":"https://openalex.org/keywords/millimeter","display_name":"Millimeter","score":0.44813427329063416},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4426833391189575},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3873564600944519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30566781759262085},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.25883299112319946},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.186456561088562},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15359169244766235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09120437502861023}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.824344277381897},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.6657385230064392},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6404127478599548},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5493502616882324},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5472493171691895},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5382944941520691},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5104324221611023},{"id":"https://openalex.org/C109792285","wikidata":"https://www.wikidata.org/wiki/Q174789","display_name":"Millimeter","level":2,"score":0.44813427329063416},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4426833391189575},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3873564600944519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30566781759262085},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.25883299112319946},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.186456561088562},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15359169244766235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09120437502861023},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10919654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.49000000953674316,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2085261163","https://openalex.org/W2115505340","https://openalex.org/W2161402023","https://openalex.org/W2296228853","https://openalex.org/W2888011474","https://openalex.org/W2963351448","https://openalex.org/W2973146207","https://openalex.org/W2973595938","https://openalex.org/W3163790949","https://openalex.org/W4285303928","https://openalex.org/W4312336128","https://openalex.org/W4360584401","https://openalex.org/W4365420566","https://openalex.org/W4378647934","https://openalex.org/W4383108717","https://openalex.org/W4383200248","https://openalex.org/W4385302159","https://openalex.org/W4385521775","https://openalex.org/W4388660602","https://openalex.org/W4388930184","https://openalex.org/W4390873564","https://openalex.org/W4392012792","https://openalex.org/W4400645640","https://openalex.org/W6845720290","https://openalex.org/W6853124194","https://openalex.org/W6855096340"],"related_works":["https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W2317169686","https://openalex.org/W1185324648","https://openalex.org/W2539553997","https://openalex.org/W3159902002","https://openalex.org/W3208155863","https://openalex.org/W2363237216","https://openalex.org/W2033762247","https://openalex.org/W2530392398"],"abstract_inverted_index":{"The":[0,104],"4D":[1,51,70],"millimeter-wave":[2],"(mmWave)":[3],"radar,":[4],"with":[5],"its":[6,57],"robustness":[7],"in":[8,34,116],"extreme":[9],"environments,":[10],"extensive":[11],"detection":[12],"range,":[13],"and":[14,19,48,60,96,110,123],"capabilities":[15],"for":[16,25],"measuring":[17],"velocity":[18],"elevation,":[20],"has":[21],"demonstrated":[22],"significant":[23],"potential":[24],"enhancing":[26],"the":[27,45,126],"perception":[28],"abilities":[29],"of":[30,50,118],"autonomous":[31],"driving":[32],"systems":[33],"corner-case":[35],"scenarios,":[36],"such":[37],"as":[38],"rainy,":[39],"snowy":[40],"or":[41],"foggy":[42],"weathers.":[43],"Nevertheless,":[44],"inherent":[46],"sparsity":[47],"noise":[49],"mmWave":[52,71],"radar":[53,72,112],"point":[54,73,81,94,113,120],"clouds":[55],"restrict":[56],"further":[58],"deployment":[59],"practical":[61],"application.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66],"introduce":[67],"a":[68,98],"novel":[69],"cloud":[74,114,121],"detector,":[75],"which":[76],"leverages":[77],"high-resolution":[78],"dense":[79,86],"LiDAR":[80,93],"clouds.":[82],"Our":[83],"approach":[84],"constructs":[85],"3D":[87],"occupancy":[88],"ground":[89],"truth":[90],"from":[91],"stitched":[92],"clouds,":[95],"employs":[97],"specially":[99],"designed":[100],"network":[101],"named":[102],"DenserRadar.":[103],"proposed":[105],"method":[106],"surpasses":[107],"existing":[108],"probability-based":[109],"learning-based":[111],"detectors":[115],"terms":[117],"both":[119],"density":[122],"accuracy":[124],"on":[125],"K-Radar":[127],"dataset.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2025-10-10T00:00:00"}