一种具有像素并行噪声和空间冗余抑制的132 × 104 10μm像素250μW 1kefps动态视觉传感器

Chenghan Li, Luca Longinotti, Federico Corradi, T. Delbrück
{"title":"一种具有像素并行噪声和空间冗余抑制的132 × 104 10μm像素250μW 1kefps动态视觉传感器","authors":"Chenghan Li, Luca Longinotti, Federico Corradi, T. Delbrück","doi":"10.23919/VLSIC.2019.8778050","DOIUrl":null,"url":null,"abstract":"This paper reports a 132 by 104 dynamic vision sensor (DVS) with $10 \\mu \\mathrm{m}$ pixel in a 65nm logic process and a synchronous address-event representation (SAER) readout capable of 180Meps throughput. The SAER architecture allows adjustable event frame rate control and supports pre-readout pixel-parallel noise and spatial redundancy suppression. The chip consumes $250 \\mu \\mathrm{W}$ with 100keps running at 1k event frames per second (efps), 3-5 times more power efficient than the prior art using normalized power metrics. The chip is aimed for low power IoT and real-time high-speed smart vision applications.","PeriodicalId":6707,"journal":{"name":"2019 Symposium on VLSI Circuits","volume":"6 1","pages":"C216-C217"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"A 132 by 104 10μm-Pixel 250μW 1kefps Dynamic Vision Sensor with Pixel-Parallel Noise and Spatial Redundancy Suppression\",\"authors\":\"Chenghan Li, Luca Longinotti, Federico Corradi, T. Delbrück\",\"doi\":\"10.23919/VLSIC.2019.8778050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reports a 132 by 104 dynamic vision sensor (DVS) with $10 \\\\mu \\\\mathrm{m}$ pixel in a 65nm logic process and a synchronous address-event representation (SAER) readout capable of 180Meps throughput. The SAER architecture allows adjustable event frame rate control and supports pre-readout pixel-parallel noise and spatial redundancy suppression. The chip consumes $250 \\\\mu \\\\mathrm{W}$ with 100keps running at 1k event frames per second (efps), 3-5 times more power efficient than the prior art using normalized power metrics. The chip is aimed for low power IoT and real-time high-speed smart vision applications.\",\"PeriodicalId\":6707,\"journal\":{\"name\":\"2019 Symposium on VLSI Circuits\",\"volume\":\"6 1\",\"pages\":\"C216-C217\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Symposium on VLSI Circuits\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/VLSIC.2019.8778050\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Symposium on VLSI Circuits","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/VLSIC.2019.8778050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 30

摘要

本文报道了一个132 × 104动态视觉传感器(DVS),在65nm逻辑工艺中具有$10 \mu \ maththrm {m}$像素,具有能够实现180Meps吞吐量的同步地址事件表示(SAER)读出。SAER架构允许可调的事件帧率控制,并支持预读出像素并行噪声和空间冗余抑制。该芯片以每秒1k事件帧(efps)的速度运行100次,功耗为250美元\mu \ mathm {W}$,使用标准化功耗指标比现有技术节能3-5倍。该芯片旨在实现低功耗物联网和实时高速智能视觉应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 132 by 104 10μm-Pixel 250μW 1kefps Dynamic Vision Sensor with Pixel-Parallel Noise and Spatial Redundancy Suppression
This paper reports a 132 by 104 dynamic vision sensor (DVS) with $10 \mu \mathrm{m}$ pixel in a 65nm logic process and a synchronous address-event representation (SAER) readout capable of 180Meps throughput. The SAER architecture allows adjustable event frame rate control and supports pre-readout pixel-parallel noise and spatial redundancy suppression. The chip consumes $250 \mu \mathrm{W}$ with 100keps running at 1k event frames per second (efps), 3-5 times more power efficient than the prior art using normalized power metrics. The chip is aimed for low power IoT and real-time high-speed smart vision applications.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信