{"id":"https://openalex.org/W2592767425","doi":"https://doi.org/10.1109/mwscas.2016.7870028","title":"A trapezoid multiresolution CMOS image sensor for traffic monitoring","display_name":"A trapezoid multiresolution CMOS image sensor for traffic monitoring","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2592767425","doi":"https://doi.org/10.1109/mwscas.2016.7870028","mag":"2592767425"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas.2016.7870028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2016.7870028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS)","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/A5021762402","display_name":"Bingxing Wu","orcid":"https://orcid.org/0000-0001-8738-2344"},"institutions":[{"id":"https://openalex.org/I155093810","display_name":"University of Idaho","ror":"https://ror.org/03hbp5t65","country_code":"US","type":"education","lineage":["https://openalex.org/I155093810"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bingxing Wu","raw_affiliation_strings":["Electrical and Computer Engineering, University of Idaho, Moscow, ID, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Idaho, Moscow, ID, USA","institution_ids":["https://openalex.org/I155093810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048793827","display_name":"Ahmed Abdel-Rahim","orcid":"https://orcid.org/0000-0001-9756-554X"},"institutions":[{"id":"https://openalex.org/I155093810","display_name":"University of Idaho","ror":"https://ror.org/03hbp5t65","country_code":"US","type":"education","lineage":["https://openalex.org/I155093810"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Abdel-Rahim","raw_affiliation_strings":["Civil Engineering Department, University of Idaho, Moscow, ID, USA"],"affiliations":[{"raw_affiliation_string":"Civil Engineering Department, University of Idaho, Moscow, ID, USA","institution_ids":["https://openalex.org/I155093810"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035296415","display_name":"Suat U. Ay","orcid":"https://orcid.org/0000-0001-7640-4253"},"institutions":[{"id":"https://openalex.org/I155093810","display_name":"University of Idaho","ror":"https://ror.org/03hbp5t65","country_code":"US","type":"education","lineage":["https://openalex.org/I155093810"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suat U. Ay","raw_affiliation_strings":["Electrical and Computer Engineering, University of Idaho, Moscow, ID, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Idaho, Moscow, ID, USA","institution_ids":["https://openalex.org/I155093810"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021762402"],"corresponding_institution_ids":["https://openalex.org/I155093810"],"apc_list":null,"apc_paid":null,"fwci":0.1838,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6151487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"ii","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":1.0,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9926000237464905,"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/pixel","display_name":"Pixel","score":0.7573424577713013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6771682500839233},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6401968002319336},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.6371533870697021},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5882348418235779},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5275604128837585},{"id":"https://openalex.org/keywords/cmos-sensor","display_name":"CMOS sensor","score":0.5098609328269958},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.5025932788848877},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4877069890499115},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.44548407196998596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4368087947368622},{"id":"https://openalex.org/keywords/sensor-array","display_name":"Sensor array","score":0.4143211245536804},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4133864939212799},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36431804299354553},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.35206538438796997},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.32875144481658936},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25153207778930664},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21617209911346436},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10920798778533936}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7573424577713013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6771682500839233},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6401968002319336},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.6371533870697021},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5882348418235779},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5275604128837585},{"id":"https://openalex.org/C155512908","wikidata":"https://www.wikidata.org/wiki/Q210745","display_name":"CMOS sensor","level":3,"score":0.5098609328269958},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.5025932788848877},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4877069890499115},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.44548407196998596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4368087947368622},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.4143211245536804},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4133864939212799},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36431804299354553},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.35206538438796997},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32875144481658936},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25153207778930664},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21617209911346436},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10920798778533936},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"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/mwscas.2016.7870028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2016.7870028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306108","display_name":"U.S. Department of Transportation","ror":"https://ror.org/02xfw2e90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W593167010","https://openalex.org/W1987250404","https://openalex.org/W2009933375","https://openalex.org/W2018962199","https://openalex.org/W2108033050","https://openalex.org/W2111794548","https://openalex.org/W2111933279","https://openalex.org/W2116312837","https://openalex.org/W2124999083","https://openalex.org/W6676556998","https://openalex.org/W6677325044"],"related_works":["https://openalex.org/W1966119149","https://openalex.org/W2099015120","https://openalex.org/W2466718138","https://openalex.org/W2347245756","https://openalex.org/W2351312630","https://openalex.org/W2028671992","https://openalex.org/W3139631222","https://openalex.org/W2367429071","https://openalex.org/W2020270528","https://openalex.org/W2183250885"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,82],"new":[4],"multiresolution":[5,88],"CMOS":[6,84],"imager":[7],"sensor":[8,44],"with":[9,86],"trapezoid":[10,43,89],"pixel":[11,39,90],"array,":[12],"called":[13],"TZOID,":[14],"is":[15,18,24],"presented.":[16],"It":[17,23],"designed":[19],"for":[20,26],"traffic":[21,61],"monitoring.":[22],"specifically":[25],"detecting":[27],"the":[28,60],"speed":[29],"and":[30,71,95],"location":[31],"of":[32,38],"upcoming":[33],"vehicles,":[34],"without":[35],"using":[36],"binning":[37],"signals.":[40],"The":[41,56],"unique":[42],"design":[45,58,93],"also":[46],"eliminates":[47],"computationally":[48],"expensive":[49],"coordinate":[50],"mapping":[51],"to":[52],"extract":[53],"necessary":[54],"information.":[55],"TZOID":[57,77],"simplifies":[59],"monitoring":[62],"camera":[63],"system":[64],"achieving":[65],"faster":[66],"image":[67],"processing,":[68],"low-power":[69],"consumption":[70],"smaller":[72],"frame":[73],"memory.":[74],"A":[75],"prototype":[76],"chip":[78],"was":[79],"fabricated":[80],"in":[81],"0.18\u03bcm":[83],"process":[85],"40\u00d7152":[87],"array.":[91],"Detailed":[92],"considerations":[94],"preliminary":[96],"measurement":[97],"results":[98],"are":[99],"reported.":[100]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
