A 90 µW at 1 fps and 1.33 mW at 30 fps 120-dB Intrascene Dynamic Range 640 × 480 Stacked Image Sensor for Autonomous Vision Systems

IF 2.2 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Solid-State Circuits Letters Pub Date : 2024-02-27 DOI:10.1109/LSSC.2024.3370797
Pierre-François Rüedi;Riccardo Quaglia;Hans-Rudolf Graf
{"title":"A 90 µW at 1 fps and 1.33 mW at 30 fps 120-dB Intrascene Dynamic Range 640 × 480 Stacked Image Sensor for Autonomous Vision Systems","authors":"Pierre-François Rüedi;Riccardo Quaglia;Hans-Rudolf Graf","doi":"10.1109/LSSC.2024.3370797","DOIUrl":null,"url":null,"abstract":"We present an ultralow-power high dynamic range (DR) image sensor dedicated to autonomous vision systems, produced in a back illuminated 65 nm/40 nm stacked process and based on a time-to-digital pixel with in-pixel A/D conversion and data memory. Key to the low-power consumption is a new in-pixel comparator without dc current consumption. The 120-dB intrascene DR of the sensor, encoded on 10 bits, makes use of a logarithmic data representation. Thanks to the high intrascene DR, no adaptation to the local illumination is necessary. The sensor has a sensitivity of 6.4 V/lux/s, an FPN of 0.6%, and a temporal noise of 11 e−, with a pixel pitch of \n<inline-formula> <tex-math>$6.3 \\, \\mu \\text{m}$ </tex-math></inline-formula>\n and a fill factor of 86%.","PeriodicalId":13032,"journal":{"name":"IEEE Solid-State Circuits Letters","volume":"7 ","pages":"106-109"},"PeriodicalIF":2.2000,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Solid-State Circuits Letters","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10449896/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0

Abstract

We present an ultralow-power high dynamic range (DR) image sensor dedicated to autonomous vision systems, produced in a back illuminated 65 nm/40 nm stacked process and based on a time-to-digital pixel with in-pixel A/D conversion and data memory. Key to the low-power consumption is a new in-pixel comparator without dc current consumption. The 120-dB intrascene DR of the sensor, encoded on 10 bits, makes use of a logarithmic data representation. Thanks to the high intrascene DR, no adaptation to the local illumination is necessary. The sensor has a sensitivity of 6.4 V/lux/s, an FPN of 0.6%, and a temporal noise of 11 e−, with a pixel pitch of $6.3 \, \mu \text{m}$ and a fill factor of 86%.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于自主视觉系统的级联内动态范围为 640 × 480 的堆叠式图像传感器,1 帧/秒时功耗为 90 µW,30 帧/秒时功耗为 1.33 mW,动态范围为 120 分贝
我们介绍了一种专用于自主视觉系统的超低功耗高动态范围(DR)图像传感器,该传感器采用背照式 65 纳米/40 纳米叠层工艺制造,基于具有像素内 A/D 转换和数据存储器的时间数字像素。低功耗的关键在于一个无直流电流消耗的新型像素内比较器。传感器的级内 DR 为 120 分贝,以 10 位编码,采用对数数据表示。由于级内 DR 高,因此无需适应局部光照。该传感器的灵敏度为 6.4 V/lux/s,FPN 为 0.6%,时间噪声为 11 e-,像素间距为 6.3 \\mu \text{m}$,填充因子为 86%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Solid-State Circuits Letters
IEEE Solid-State Circuits Letters Engineering-Electrical and Electronic Engineering
CiteScore
4.30
自引率
3.70%
发文量
52
期刊最新文献
Terahertz Sensing With CMOS-RFIC:Feasibility Verification for Short-Range Imaging Using 300-GHz MIMO Radar Analysis and Optimization of Parasitics-Induced Peak Frequency Shift in Gain-Boosted N-Path Switched-Capacitor Bandpass Filter A 28-GHz Variable-Gain Phase Shifter With Phase Compensation Using Analog Addition and Subtraction Method A 33.06-Gb/s Reconfigurable Galois Field oFEC Decoder for Optical Intersatellite Communication A 1–3 GHz Fast-Locking Frequency Synthesizer Based on a Combination of PLL and MDLL With Auto-Zero Phase-Error Compensation
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1