{"id":"https://openalex.org/W4294691814","doi":"https://doi.org/10.1109/aicas54282.2022.9870011","title":"Temporal Frame Filtering with Near-Pixel Compute for Autonomous Driving","display_name":"Temporal Frame Filtering with Near-Pixel Compute for Autonomous Driving","publication_year":2022,"publication_date":"2022-06-13","ids":{"openalex":"https://openalex.org/W4294691814","doi":"https://doi.org/10.1109/aicas54282.2022.9870011"},"language":"en","primary_location":{"id":"doi:10.1109/aicas54282.2022.9870011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas54282.2022.9870011","pdf_url":null,"source":{"id":"https://openalex.org/S4363608281","display_name":"2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","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/A5101936941","display_name":"Wantong Li","orcid":"https://orcid.org/0000-0002-8288-393X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wantong Li","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,USA","Georgia Institute of Technology, Atlanta, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028463102","display_name":"Qiucheng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiucheng Wu","raw_affiliation_strings":["University of California Santa Barbara,Santa Barbara,USA","University of California Santa Barbara, Santa Barbara, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Santa Barbara,Santa Barbara,USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"University of California Santa Barbara, Santa Barbara, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073942394","display_name":"Janak Sharda","orcid":"https://orcid.org/0000-0002-1438-2439"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Janak Sharda","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,USA","Georgia Institute of Technology, Atlanta, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112248869","display_name":"Shiyu Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiyu Chang","raw_affiliation_strings":["University of California Santa Barbara,Santa Barbara,USA","University of California Santa Barbara, Santa Barbara, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Santa Barbara,Santa Barbara,USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"University of California Santa Barbara, Santa Barbara, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054894631","display_name":"Shimeng Yu","orcid":"https://orcid.org/0000-0002-0068-3652"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shimeng Yu","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,USA","Georgia Institute of Technology, Atlanta, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9137,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86178304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9998999834060669,"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":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9993000030517578,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.7414183020591736},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.7024463415145874},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.693165123462677},{"id":"https://openalex.org/keywords/adder","display_name":"Adder","score":0.6521843075752258},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5220998525619507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5024898052215576},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5009312629699707},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4980907440185547},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.47186726331710815},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44210153818130493},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.43424057960510254},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3891005516052246},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3415601849555969},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3247086703777313},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0834001898765564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7414183020591736},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7024463415145874},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.693165123462677},{"id":"https://openalex.org/C164620267","wikidata":"https://www.wikidata.org/wiki/Q376953","display_name":"Adder","level":3,"score":0.6521843075752258},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5220998525619507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5024898052215576},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5009312629699707},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4980907440185547},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.47186726331710815},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44210153818130493},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.43424057960510254},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3891005516052246},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3415601849555969},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3247086703777313},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0834001898765564},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aicas54282.2022.9870011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas54282.2022.9870011","pdf_url":null,"source":{"id":"https://openalex.org/S4363608281","display_name":"2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2122088301","https://openalex.org/W2891899936","https://openalex.org/W2981207549","https://openalex.org/W3015271406","https://openalex.org/W3100646146","https://openalex.org/W3104775050","https://openalex.org/W3134526034","https://openalex.org/W3134925336","https://openalex.org/W3137059735","https://openalex.org/W3163515291","https://openalex.org/W3165926952","https://openalex.org/W6754658187"],"related_works":["https://openalex.org/W2944239605","https://openalex.org/W1873415836","https://openalex.org/W2139783875","https://openalex.org/W4200290804","https://openalex.org/W4312469487","https://openalex.org/W2142311551","https://openalex.org/W2075082765","https://openalex.org/W1548368440","https://openalex.org/W2946288499","https://openalex.org/W2883717048"],"abstract_inverted_index":{"As":[0],"the":[1,6,14,22,27,42,49,53,65,90,99,143],"computer":[2],"vision":[3],"techniques":[4],"behind":[5],"advances":[7],"in":[8,30,58,146],"autonomous":[9,91],"driving":[10,92],"become":[11],"more":[12],"complex,":[13],"on-vehicle":[15],"processors":[16],"experience":[17],"increased":[18],"burden":[19],"due":[20],"to":[21,24,48,63,98],"need":[23],"compute":[25,33,44,67,76,100,157],"on":[26],"received":[28],"images":[29],"real-time.":[31],"Near-pixel":[32],"is":[34,56,127],"an":[35,150],"emerging":[36],"paradigm":[37],"that":[38],"brings":[39],"part":[40],"of":[41,120,153,159],"critical":[43],"tasks":[45],"very":[46],"close":[47],"image":[50,87,121,137],"sensors,":[51],"and":[52,117,156],"transmitted":[54],"data":[55,110],"reduced":[57],"dimensionality":[59],"or":[60],"partially":[61],"processed":[62],"alleviate":[64],"backend":[66],"stress.":[68],"In":[69],"this":[70],"work,":[71],"we":[72],"present":[73],"a":[74,79,132],"near-pixel":[75],"architecture":[77],"targeting":[78],"temporal":[80],"frame":[81,122],"filtering":[82,144],"network":[83],"which":[84,141],"drops":[85],"redundant":[86],"frames":[88],"for":[89],"BDD100K":[93],"dataset.":[94],"Several":[95],"circuit":[96],"optimizations":[97],"units":[101],"are":[102],"introduced,":[103],"including":[104],"using":[105],"NOR":[106],"gate":[107],"array":[108],"as":[109],"buffers,":[111],"front-end":[112],"demosaicing,":[113],"sparsity-aware":[114],"adder":[115],"tree,":[116],"indirect":[118],"calculation":[119],"difference.":[123],"The":[124],"proposed":[125],"design":[126],"synthesized":[128],"at":[129],"40":[130],"nm,":[131],"node":[133],"compatible":[134],"with":[135,149],"CMOS":[136],"sensor":[138],"(CIS)":[139],"technology,":[140],"completes":[142],"algorithm":[145],"2.2":[147],"ms":[148],"energy":[151],"efficiency":[152],"15.7":[154],"TOPS/W":[155],"density":[158],"380.1":[160],"GOPS/mm":[161],"<sup":[162],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[163],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[164],".":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}