{"id":"https://openalex.org/W1968431658","doi":"https://doi.org/10.1109/isscc.2013.6487684","title":"A 470mV 2.7mW feature extraction-accelerator for micro-autonomous vehicle navigation in 28nm CMOS","display_name":"A 470mV 2.7mW feature extraction-accelerator for micro-autonomous vehicle navigation in 28nm CMOS","publication_year":2013,"publication_date":"2013-02-01","ids":{"openalex":"https://openalex.org/W1968431658","doi":"https://doi.org/10.1109/isscc.2013.6487684","mag":"1968431658"},"language":"en","primary_location":{"id":"doi:10.1109/isscc.2013.6487684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc.2013.6487684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Solid-State Circuits Conference Digest of Technical Papers","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/A5053248335","display_name":"Dongsuk Jeon","orcid":"https://orcid.org/0000-0002-0395-8076"},"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":true,"raw_author_name":"Dongsuk Jeon","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA","University of Michigan Ann Arbor MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan Ann Arbor MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077178059","display_name":"Yejoong Kim","orcid":"https://orcid.org/0000-0001-9114-3696"},"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":"Yejoong Kim","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA","University of Michigan Ann Arbor MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan Ann Arbor MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075063817","display_name":"Inhee Lee","orcid":"https://orcid.org/0000-0001-5723-9678"},"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":"Inhee Lee","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA","University of Michigan Ann Arbor MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan Ann Arbor MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038110244","display_name":"Zhengya Zhang","orcid":"https://orcid.org/0000-0001-5963-9018"},"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":"Zhengya Zhang","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA","University of Michigan Ann Arbor MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan Ann Arbor MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075786043","display_name":"D. Blaauw","orcid":null},"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":"D. Blaauw","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA","University of Michigan Ann Arbor MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan Ann Arbor MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000767141","display_name":"Dennis Sylvester","orcid":"https://orcid.org/0000-0003-2598-0458"},"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":"D. Sylvester","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA","University of Michigan Ann Arbor MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan Ann Arbor MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5053248335"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":4.1466,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.94670884,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"166","last_page":"167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8128149509429932},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6776596307754517},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.6298161745071411},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5157130360603333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5043154954910278},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.49283576011657715},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.4684602916240692},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.4456605315208435},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4267461597919464},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4217320680618286},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4212818741798401},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3946084976196289},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3674493730068207},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.359037309885025},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3427870273590088},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3400786519050598},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.25178366899490356},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.17978891730308533},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.14364883303642273},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11109477281570435},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10944604873657227},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09889069199562073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8128149509429932},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6776596307754517},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.6298161745071411},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5157130360603333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5043154954910278},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.49283576011657715},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.4684602916240692},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.4456605315208435},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4267461597919464},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4217320680618286},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4212818741798401},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3946084976196289},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3674493730068207},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.359037309885025},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3427870273590088},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3400786519050598},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25178366899490356},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.17978891730308533},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.14364883303642273},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11109477281570435},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10944604873657227},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09889069199562073},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isscc.2013.6487684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc.2013.6487684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Solid-State Circuits Conference Digest of Technical Papers","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.663.2748","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.663.2748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wims2.org/publications/papers/470mv_feature-jeon.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1515523358","https://openalex.org/W1677409904","https://openalex.org/W2024553996","https://openalex.org/W2025847799","https://openalex.org/W2119605622","https://openalex.org/W2127575220","https://openalex.org/W2130467208","https://openalex.org/W3141617840","https://openalex.org/W3150009426","https://openalex.org/W6630868006"],"related_works":["https://openalex.org/W3014521742","https://openalex.org/W2617868873","https://openalex.org/W3204141294","https://openalex.org/W4306968100","https://openalex.org/W2562383580","https://openalex.org/W2169415604","https://openalex.org/W2171986175","https://openalex.org/W2089791793","https://openalex.org/W2298526277","https://openalex.org/W4387272257"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,45,117,122],"power-efficient":[4],"speeded-up":[5],"robust":[6],"features":[7,76],"(SURF)":[8],"extraction":[9,73,110],"accelerator":[10],"targeted":[11],"primarily":[12],"for":[13,129],"micro":[14],"air":[15],"vehicles":[16],"(MAVs)":[17],"with":[18],"autonomous":[19],"navigation":[20,69],"(Fig.":[21],"9.7.1).":[22],"Typical":[23],"object":[24],"recognition":[25],"SoCs":[26],"[4-6]":[27],"employ":[28],"an":[29],"application-specific":[30],"algorithm":[31],"to":[32,39,77,87,93],"choose":[33],"specific":[34],"regions":[35],"of":[36,48,74,103],"interest":[37],"(ROIs)":[38],"reduce":[40],"computation":[41],"by":[42],"focusing":[43],"on":[44],"small":[46],"portion":[47],"the":[49,60,72,100],"image.":[50],"However,":[51],"this":[52],"approach":[53],"is":[54],"not":[55],"feasible":[56],"in":[57,121],"applications":[58],"where":[59],"whole":[61],"image":[62],"must":[63],"be":[64],"analyzed,":[65],"such":[66],"as":[67],"visual":[68],"that":[70],"requires":[71,125],"general":[75],"determine":[78],"location":[79],"or":[80],"movement.":[81],"In":[82],"addition,":[83],"multicore":[84,123],"architectures":[85],"need":[86],"run":[88],"at":[89],"high":[90,95],"clock":[91],"frequencies":[92],"meet":[94],"peak":[96],"performance":[97],"requirements":[98],"and":[99],"power":[101],"consumption":[102],"inter-core":[104],"communication":[105],"becomes":[106],"prohibitive.":[107],"Since":[108],"feature":[109],"algorithms":[111],"require":[112],"significant":[113],"memory":[114],"accesses":[115],"across":[116],"large":[118],"area,":[119],"parallelization":[120],"system":[124],"costly":[126],"high-bandwidth":[127],"memories":[128],"massive":[130],"intermediate":[131],"data.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}