Hardware-accelerated address-event processing for high-speed visual object recognition

M. Hofstätter, M. Litzenberger, D. Matolin, C. Posch
{"title":"Hardware-accelerated address-event processing for high-speed visual object recognition","authors":"M. Hofstätter, M. Litzenberger, D. Matolin, C. Posch","doi":"10.1109/ICECS.2011.6122221","DOIUrl":null,"url":null,"abstract":"This paper presents a hardware implementation for high-speed, event-based data processing. A full-custom Address-Event (AER) processing system (GAEP) features a 10ns-resolution 33M/5.125M events·s−1 peak/sustained event rate sensor data interface for precision time-stamping of asynchronous sensor data and implements hardware-accelerated event pre-processing including rate dependent IRQ generation and address masking for ROI/RONI. The pre-processing functions are implemented in dedicated hardware and operate without loading the actual processor device, a SPARC-compatible general-purpose micro-processor. The complete SoC is implemented in 0.18μm standard CMOS technology. We present a camera system comprising the AER processor and a bio-inspired dynamic vision sensor in an exemplary high-speed vision application related to shape detection / object recognition. Relevant details of the system architecture and performance results characterizing the vision system in a real-world machine vision application are presented.","PeriodicalId":251525,"journal":{"name":"2011 18th IEEE International Conference on Electronics, Circuits, and Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 18th IEEE International Conference on Electronics, Circuits, and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS.2011.6122221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

This paper presents a hardware implementation for high-speed, event-based data processing. A full-custom Address-Event (AER) processing system (GAEP) features a 10ns-resolution 33M/5.125M events·s−1 peak/sustained event rate sensor data interface for precision time-stamping of asynchronous sensor data and implements hardware-accelerated event pre-processing including rate dependent IRQ generation and address masking for ROI/RONI. The pre-processing functions are implemented in dedicated hardware and operate without loading the actual processor device, a SPARC-compatible general-purpose micro-processor. The complete SoC is implemented in 0.18μm standard CMOS technology. We present a camera system comprising the AER processor and a bio-inspired dynamic vision sensor in an exemplary high-speed vision application related to shape detection / object recognition. Relevant details of the system architecture and performance results characterizing the vision system in a real-world machine vision application are presented.
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
用于高速视觉对象识别的硬件加速地址事件处理
本文提出了一种基于事件的高速数据处理的硬件实现。全定制地址-事件(AER)处理系统(GAEP)具有10ns分辨率33M/5.125M事件·s−1峰值/持续事件速率传感器数据接口,用于异步传感器数据的精确时间戳,并实现硬件加速的事件预处理,包括速率相关的IRQ生成和ROI/RONI的地址屏蔽。预处理功能在专用硬件中实现,无需加载实际的处理器设备(sparc兼容的通用微处理器)即可运行。完整的SoC采用0.18μm标准CMOS技术实现。我们提出了一个由AER处理器和生物动态视觉传感器组成的相机系统,用于与形状检测/物体识别相关的示例性高速视觉应用。给出了系统架构的相关细节和在实际机器视觉应用中表征视觉系统的性能结果。
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
自引率
0.00%
发文量
0
期刊最新文献
Controlling the bandwidth of Bulk Acoustic Wave filter using a decoder designed on 65nm process High level characterization and optimization of a GPSK modulator with genetic algorithm Asymmetric large size multiplication using embedded blocks with efficient compression technique in FPGAs Circuit authentication based on Ring-Oscillator PUFs High performance 4:1 multiplexer with ambipolar double-gate FETs
×
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