{"id":"https://openalex.org/W4327521084","doi":"https://doi.org/10.1145/3573428.3573552","title":"Characteristics Analysis of RODNet ConfMap for MMW Radar Target Detection","display_name":"Characteristics Analysis of RODNet ConfMap for MMW Radar Target Detection","publication_year":2022,"publication_date":"2022-10-21","ids":{"openalex":"https://openalex.org/W4327521084","doi":"https://doi.org/10.1145/3573428.3573552"},"language":"en","primary_location":{"id":"doi:10.1145/3573428.3573552","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","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/A5041747363","display_name":"Zhuang Li","orcid":"https://orcid.org/0000-0002-0170-0039"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuang Li","raw_affiliation_strings":["School of Information Science and Technology, North China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, North China University of Technology, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421498","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-3899-3306"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["School of Information Science and Technology, North China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, North China University of Technology, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652818","display_name":"Yanping Wang","orcid":"https://orcid.org/0000-0002-1287-670X"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Wang","raw_affiliation_strings":["School of Information Science and Technology, North China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, North China University of Technology, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086281345","display_name":"Yun Lin","orcid":"https://orcid.org/0000-0002-3020-5715"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Lin","raw_affiliation_strings":["School of Information Science and Technology, North China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, North China University of Technology, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020325868","display_name":"Wenjie Shen","orcid":"https://orcid.org/0000-0001-7442-4605"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Shen","raw_affiliation_strings":["School of Information Science and Technology, North China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, North China University of Technology, China","institution_ids":["https://openalex.org/I1456306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041747363"],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33366791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"701","last_page":"706"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T12740","display_name":"Gait Recognition and Analysis","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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-science","display_name":"Computer science","score":0.7365973591804504},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.695742130279541},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.6954085230827332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6531100273132324},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6471893787384033},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5409942269325256},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5137509107589722},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5114323496818542},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.48562613129615784},{"id":"https://openalex.org/keywords/bistatic-radar","display_name":"Bistatic radar","score":0.4679400324821472},{"id":"https://openalex.org/keywords/low-probability-of-intercept-radar","display_name":"Low probability of intercept radar","score":0.42940157651901245},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4039587676525116},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16129842400550842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7365973591804504},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.695742130279541},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.6954085230827332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6531100273132324},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6471893787384033},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5409942269325256},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5137509107589722},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5114323496818542},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.48562613129615784},{"id":"https://openalex.org/C100102862","wikidata":"https://www.wikidata.org/wiki/Q2625855","display_name":"Bistatic radar","level":4,"score":0.4679400324821472},{"id":"https://openalex.org/C147345108","wikidata":"https://www.wikidata.org/wiki/Q6693040","display_name":"Low probability of intercept radar","level":5,"score":0.42940157651901245},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4039587676525116},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16129842400550842}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573428.3573552","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2101926813","https://openalex.org/W2558027072","https://openalex.org/W2735338899","https://openalex.org/W2946165673","https://openalex.org/W3035574168"],"related_works":["https://openalex.org/W2296151615","https://openalex.org/W2059299633","https://openalex.org/W2069104655","https://openalex.org/W2592608940","https://openalex.org/W3162644779","https://openalex.org/W2732301071","https://openalex.org/W4319586719","https://openalex.org/W2361354605","https://openalex.org/W4319586184","https://openalex.org/W2049300581"],"abstract_inverted_index":{"Unlike":[0],"the":[1,33,39,60,81,90,95,115,118],"Constant":[2],"False-Alarm":[3],"Rate":[4],"(CFAR)":[5],"based":[6,22],"MMW":[7],"radar":[8,34],"target":[9,35,110,119],"detection":[10,78,120],"methods,":[11],"RODNet":[12],"(":[13,27,42],"A":[14],"Real-Time":[15],"Radar":[16],"Object":[17],"Detection":[18],"Network":[19],")":[20,44],"is":[21,51,71,112,126,130],"on":[23],"Convolutional":[24],"Neural":[25],"Networks":[26],"CNNs":[28],"),":[29],"and":[30,94,109,129],"directly":[31],"learns":[32],"scattering":[36],"signatures":[37],"from":[38],"original":[40],"range-azimuth":[41],"RA":[43],"radio":[45],"frequency":[46],"image":[47],"sequence.":[48],"Although":[49],"this":[50,86],"a":[52,76],"big":[53],"advantage":[54],"to":[55,75,132],"keep":[56],"more":[57],"useful":[58],"information,":[59],"generated":[61],"confidence":[62],"map":[63],"(ConfMap)":[64],"characteristics":[65,91],"of":[66,92,97,122],"predicated":[67],"proximal":[68],"pedestrian":[69,83,124],"targets":[70],"unknown.":[72],"It":[73],"leads":[74],"missed":[77],"problem":[79],"in":[80],"dense":[82,123],"scene.":[84],"In":[85],"paper,":[87],"we":[88],"analyze":[89],"ConfMap":[93,102],"limitations":[96],"RODNet.":[98],"The":[99],"relationship":[100],"among":[101],"value":[103],"distribution,":[104],"occupied":[105],"grid":[106],"spatial":[107],"distribution":[108],"number":[111],"analyzed.":[113],"Through":[114],"CRUW":[116],"dataset,":[117],"experiment":[121],"scene":[125],"carried":[127],"out,":[128],"used":[131],"support":[133],"our":[134],"analysis.":[135]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}