{"id":"https://openalex.org/W7163553958","doi":"https://doi.org/10.23919/date69613.2026.11539612","title":"LiteDVS: A Low-Data-Redundancy Dynamic Vision Sensor with Hybrid Readout and In-Pixel Denoising","display_name":"LiteDVS: A Low-Data-Redundancy Dynamic Vision Sensor with Hybrid Readout and In-Pixel Denoising","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7163553958","doi":"https://doi.org/10.23919/date69613.2026.11539612"},"language":null,"primary_location":{"id":"doi:10.23919/date69613.2026.11539612","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date69613.2026.11539612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Design, Automation & Test in Europe Conference (DATE)","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/A5012094675","display_name":"Zichen Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zichen Kong","raw_affiliation_strings":["Peking University,School of Integrated Circuits"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Integrated Circuits","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077517676","display_name":"Zhongyi Wu","orcid":"https://orcid.org/0000-0002-4992-8075"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyi Wu","raw_affiliation_strings":["Peking University,School of Integrated Circuits"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Integrated Circuits","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066653944","display_name":"Xiyuan Tang","orcid":"https://orcid.org/0000-0003-2181-9042"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyuan Tang","raw_affiliation_strings":["Peking University,Institute for Artificial Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,Institute for Artificial Intelligence","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5137865713","display_name":"Yuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["Peking University,School of Integrated Circuits"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Integrated Circuits","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75482301,"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":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.847100019454956,"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":0.847100019454956,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.11010000109672546,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.002099999925121665,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.45840001106262207},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4255000054836273},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3249000012874603},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.30790001153945923},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.27219998836517334}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6103000044822693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5940999984741211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5616999864578247},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.45840001106262207},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4255000054836273},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.251800000667572},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date69613.2026.11539612","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date69613.2026.11539612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Design, Automation & Test in Europe Conference (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6298678517341614,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1484764436","https://openalex.org/W2729870626","https://openalex.org/W3013851562","https://openalex.org/W3040838455","https://openalex.org/W3184030587","https://openalex.org/W4213412898","https://openalex.org/W4312514075","https://openalex.org/W4385801513","https://openalex.org/W4399121711","https://openalex.org/W4403578075","https://openalex.org/W4406387912"],"related_works":[],"abstract_inverted_index":{"Dynamic":[0],"Vision":[1],"Sensors":[2],"(DVS)":[3],"are":[4],"well":[5],"suited":[6],"for":[7,68,75],"latency-":[8],"and":[9,16,24,45,61,126],"power-sensitive":[10],"applications":[11],"such":[12],"as":[13],"embodied":[14],"intelligence":[15],"autonomous":[17],"driving,":[18],"owing":[19],"to":[20,94],"their":[21],"event-driven":[22],"operation":[23],"high":[25],"spatiotemporal":[26],"efficiency.":[27],"However,":[28],"under":[29],"camera":[30],"motion":[31],"or":[32,39],"low-light":[33],"conditions,":[34],"DVS":[35,55],"frequently":[36],"produces":[37],"redundant":[38],"noisy":[40],"events,":[41],"compromising":[42],"data":[43,80],"sparsity":[44],"reliability.":[46],"To":[47],"address":[48],"this":[49],"challenge,":[50],"we":[51],"propose":[52],"LiteDVS,":[53],"a":[54,83,104],"architecture":[56],"with":[57,72,88,98,117],"region-aware":[58],"hybrid":[59],"readout":[60,90],"in-pixel":[62,85],"denoising.":[63],"LiteDVS":[64,113],"integrates":[65],"event":[66,73],"streams":[67],"regions":[69],"of":[70,120],"interest":[71],"frames":[74],"background":[76],"areas,":[77],"significantly":[78],"reducing":[79],"redundancy.":[81],"Furthermore,":[82],"lightweight":[84],"filter":[86],"compatible":[87],"both":[89],"modes":[91],"is":[92],"designed":[93],"suppress":[95],"noise":[96],"events":[97],"negligible":[99],"latency":[100],"overhead.":[101],"Simulations":[102],"in":[103,123,129],"SMIC":[105],"55":[106],"nm":[107],"logic":[108],"CMOS":[109],"process":[110],"demonstrate":[111],"that":[112],"achieves":[114],"accurate":[115],"denoising":[116],"energy":[118],"consumptions":[119],"317":[121],"fJ/event":[122,128],"stream":[124],"mode":[125],"41.8":[127],"frame":[130],"mode.":[131]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-06-05T00:00:00"}