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神经形态增强异构集成 FMCW LiDAR - Ruud Oldenbeuving(imecNL).pdf

上传人: 拾亿 编号:751732 2025-07-29 11页 1.34MB

1、This project has received funding from the European Unions Chips JU Project 101194363This project has received funding from the National Research Foundation of KoreaNeuromorphic enhanced Heterogeneously Integrated FMCW LiDAR(NEHIL)Dr.Ruud Oldenbeuving1Content Why?(context)What?(spec requirements)How

2、?(Design strategies)Linewidth Chirp But first Who?Personal introduction Contributors to NEHIL project2FMCW LiDAR:on-chip laser designDr.ir.Ruud Oldenbeuving 22+years of experience with lasers 17+years of experience with integrated photonics Hybrid PIC laser thought-leader Recently elected in Photoni

3、cs 100 Since 2021 at imec-NLas scientific lead integrated photonic systems3Project coordinator NEHIL from EU-sideNEHIL:Neuromorphic-Enhanced Heterogeneously-Integrated FMCW LiDAR Imec NL Imec BE:2 groups Thales Research and Technology TRT Agencia Estatal Consejo Superior De Investigaciones Cientific

4、as CSIC Daegu Gyeongbuk Institute of Science and Technology DGIST Seoul National University SNU Sogang University SU4EU-Korean partnershipConsortium NEHIL:Neuromorphic-Enhanced Heterogeneously-Integrated FMCW LiDARWhy?5LiDAR:massive amounts of measurement dataNEHIL:Neuromorphic-Enhanced Heterogeneou

5、sly-Integrated FMCW LiDARAutomotive LiDAR6Time of Flight(current standard)FMCW(future standard)Difficult processing Distance and speed simultaneous High SNR Large distance Easy processing Only distance measurement Low SNR Low distanceNEHIL:Neuromorphic-Enhanced Heterogeneously-Integrated FMCW LiDARH

6、ardware schematic envisioned in NEHIL7High-level schematic overviewNEHIL:Neuromorphic-Enhanced Heterogeneously-Integrated FMCW LiDARNEHIL project FMCW LiDAR hardware demo Photonic reservoir computing Neuromorphic Edge-computing FeFET compute-in-memory8Starting

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本文概述了一个名为NEHIL的项目,其获得了欧盟Chips JU项目以及韩国国家研究基金会的资助。以下是关键点: - **项目背景**:旨在开发增强型异质集成FMCW LiDAR技术。 - **项目负责人**:Dr. Ruud Oldenbeuving,拥有超过22年的激光经验和17年的集成光电子经验。 - **合作伙伴**:包括imec NL、Thales Research、CSIC、DGIST、SNU和Sogang University等。 - **技术优势**:FMCW LiDAR能同时测量距离和速度,具有高信噪比,可测远距离。 - **项目目标**:实现FMCW LiDAR硬件演示、光子储层计算、类神经边缘计算和FeFET计算内存。 - **预期成果**:技术进步、学术论文、产业转型、4D点云LiDAR演示等。 - **项目状态**:2024年12月启动,2025年9月计划首次面对面会议,已完成基本框架建设。 通过此项目,期望在学术和工业领域建立欧盟与韩国的合作关系,并推动技术发展。
"NEHIL项目将如何改变LiDAR技术?" "FMCW LiDAR在汽车领域的未来前景如何?" "欧盟与韩国合作,NEHIL项目有哪些亮点?"
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