{"id":"https://openalex.org/W4408701034","doi":"https://doi.org/10.1109/icsmd64214.2024.10920529","title":"An Efficient YOLOv5n Based Object Detection Heterogeneous SoC Implementation for Remote Sensing Images","display_name":"An Efficient YOLOv5n Based Object Detection Heterogeneous SoC Implementation for Remote Sensing Images","publication_year":2024,"publication_date":"2024-10-31","ids":{"openalex":"https://openalex.org/W4408701034","doi":"https://doi.org/10.1109/icsmd64214.2024.10920529"},"language":"en","primary_location":{"id":"doi:10.1109/icsmd64214.2024.10920529","doi":"https://doi.org/10.1109/icsmd64214.2024.10920529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmd64214.2024.10920529","pdf_url":null,"source":{"id":"https://openalex.org/S4306498722","display_name":"International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5017492492","display_name":"Heming Liu","orcid":"https://orcid.org/0009-0000-3746-9468","observed_orcids":["https://orcid.org/0009-0000-3746-9468","https://orcid.org/0009-0007-3400-5925"]},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heming Liu","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083989346","display_name":"Bowen Yao","orcid":"https://orcid.org/0000-0002-4719-9278","observed_orcids":["https://orcid.org/0000-0002-4719-9278"]},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Yao","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687205","display_name":"Rong Xu","orcid":"https://orcid.org/0000-0003-3585-9344","observed_orcids":["https://orcid.org/0000-0003-3585-9344"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rong Xu","raw_affiliation_strings":["Shanghai Institute of Satellite Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Satellite Engineering,Shanghai,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569648","display_name":"Peng Yu","orcid":"https://orcid.org/0000-0001-9908-2349","observed_orcids":["https://orcid.org/0000-0001-9908-2349","https://orcid.org/0000-0002-3315-5581"]},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Peng","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology,Yantai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology,Yantai,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103165951","display_name":"Liansheng Liu","orcid":"https://orcid.org/0000-0001-5834-9772","observed_orcids":["https://orcid.org/0000-0001-5834-9772"]},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liansheng Liu","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":0.3374048,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9922000169754028,"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":0.9922000169754028,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.007400000002235174,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T13292","display_name":"Embedded Systems and FPGA Applications","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/yolov5n","display_name":"YOLOv5n","score":0.9520000219345093},{"id":"https://openalex.org/keywords/remote-sensing-object-detection","display_name":"remote sensing object detection","score":0.9110000133514404},{"id":"https://openalex.org/keywords/heterogeneous-soc","display_name":"heterogeneous SoC","score":0.7319999933242798},{"id":"https://openalex.org/keywords/zynq","display_name":"Zynq","score":0.8920000195503235},{"id":"https://openalex.org/keywords/hardware-software-co-design","display_name":"hardware-software co-design","score":0.8339999914169312},{"id":"https://openalex.org/keywords/parameter-quantization","display_name":"parameter quantization","score":0.9589999914169312},{"id":"https://openalex.org/keywords/lightweight-neural-networks","display_name":"lightweight neural networks","score":0.5370000004768372},{"id":"https://openalex.org/keywords/embedded-deployment","display_name":"embedded deployment","score":0.8069999814033508},{"id":"https://openalex.org/keywords/energy-efficiency","display_name":"energy efficiency","score":0.6359999775886536},{"id":"https://openalex.org/keywords/dior-dataset","display_name":"DIOR dataset","score":0.6549999713897705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7578715085983276},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6501855850219727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3360446095466614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2788349986076355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.17159304022789001}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmd64214.2024.10920529","doi":"https://doi.org/10.1109/icsmd64214.2024.10920529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmd64214.2024.10920529","pdf_url":null,"source":{"id":"https://openalex.org/S4306498722","display_name":"International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W2270801692","https://openalex.org/W2570343428","https://openalex.org/W2922395136","https://openalex.org/W2956887593","https://openalex.org/W2981864880","https://openalex.org/W2992240579","https://openalex.org/W3018757597","https://openalex.org/W3024899163","https://openalex.org/W3132170587","https://openalex.org/W3196230185","https://openalex.org/W4229066610","https://openalex.org/W4280576422","https://openalex.org/W4293584584","https://openalex.org/W4311436034","https://openalex.org/W4315631877","https://openalex.org/W4317624340","https://openalex.org/W4385769323","https://openalex.org/W4393335268","https://openalex.org/W4396855735","https://openalex.org/W6777046832"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNNs)":[3],"are":[4],"widely":[5],"used":[6],"in":[7,39],"the":[8,22,95,105,116,127],"field":[9],"of":[10,25,31,146,153,166],"remote":[11,108],"sensing":[12,109],"image":[13,144],"object":[14,67,110],"detection":[15],"due":[16],"to":[17,36,65,81,102],"their":[18,53],"high":[19,28],"accuracy.":[20],"However,":[21],"large":[23],"number":[24],"parameters":[26],"and":[27,47,78,161,169],"computational":[29,46],"complexity":[30],"CNNs":[32],"make":[33],"it":[34],"challenging":[35],"deploy":[37],"them":[38],"real-time":[40],"on":[41,94,126,132,137],"embedded":[42,134],"devices":[43],"with":[44,149],"limited":[45],"storage":[48],"resources.":[49],"This":[50],"significantly":[51,103],"restricts":[52],"practical":[54],"application.":[55],"To":[56],"address":[57],"this":[58],"challenge,":[59],"lightweight":[60],"YOLOv5n":[61,106,118],"model":[62,70,119],"is":[63,71,159],"chosen":[64],"realize":[66],"detection.":[68,111],"The":[69,139],"further":[72],"optimized":[73,117],"by":[74,99],"activation":[75],"function":[76],"modification":[77],"parameter":[79],"quantization":[80],"be":[82],"more":[83],"hardware-friendly.":[84],"In":[85],"addition,":[86],"deploying":[87],"a":[88,121,150],"Deep":[89],"Learning":[90],"Processing":[91],"Unit":[92],"(DPU)":[93],"Zynq":[96],"heterogeneous":[97],"SoC":[98],"hardware-software":[100],"co-design":[101],"accelerate":[104],"based":[107,136],"Experimental":[112],"results":[113],"show":[114],"that":[115,165],"reaches":[120],"lossless":[122],"accuracy":[123],"at":[124],"61.4%":[125],"DIOR":[128],"dataset":[129],"when":[130],"implemented":[131],"an":[133,143],"platform":[135,141],"Zynq.":[138],"experimental":[140],"achieves":[142],"throughput":[145],"232.1":[147],"FPS":[148],"power":[151],"consumption":[152],"19.4W.":[154],"Performance":[155],"per":[156],"watt":[157],"(FPS/W)":[158],"9.0\u00d7":[160],"1.8\u00d7":[162],"higher":[163],"than":[164],"i7-12700H":[167],"CPU":[168],"RTX":[170],"3070Ti":[171],"GPU":[172],"respectively.":[173]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}