Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems: Applications in Drone Navigation and Radar Sensing

Safa, Ali, Keuninckx, Lars, Gielen, Georges

Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems: Applications in Drone Navigation and Radar Sensing
  • 出版商: Springer
  • 出版日期: 2024-07-18
  • 售價: $4,450
  • 貴賓價: 9.5 折 $4,228
  • 語言: 英文
  • 頁數: 214
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031635647
  • ISBN-13: 9783031635649
  • 相關分類: 感測器 Sensor、無人機

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商品描述

This book provides novel theoretical foundations and experimental demonstrations of Spiking Neural Networks (SNNs) in tasks such as radar gesture recognition for IoT devices and autonomous drone navigation using a fusion of retina-inspired event-based camera and radar sensing. The authors describe important new findings about the Spike-Timing-Dependent Plasticity (STDP) learning rule, which is widely believed to be one of the key learning mechanisms taking place in the brain. Readers will be enabled to create novel classes of edge AI and robotics applications, using highly energy- and area-efficient SNNs

商品描述(中文翻譯)

本書提供了尖峰神經網絡（Spiking Neural Networks, SNNs）在物聯網設備的雷達手勢識別和使用融合視網膜啟發的事件驅動相機與雷達感測的自主無人機導航等任務中的新穎理論基礎和實驗示範。作者描述了有關尖峰時序依賴性可塑性（Spike-Timing-Dependent Plasticity, STDP）學習規則的重要新發現，這被廣泛認為是大腦中發生的關鍵學習機制之一。讀者將能夠創建新型的邊緣人工智慧和機器人應用，使用高效能且節能的SNNs。

作者簡介

Ali Safa (Member, IEEE) received the M.Sc. degree (highest honors) in electrical engineering from the ULB-VUB, Brussels, Belgium. He joined imec and Katholieke Universiteit Leuven (KU Leuven) in 2020, where he is currently pursuing a Ph.D. degree in AI-driven processing for extreme edge applications. He has been a visiting researcher at UC San Diego, La Jolla, USA during Spring 2023. He has authored or co-authored more than 30 papers in international journals and conference proceedings. His research interests include neuromorphic AI, continual learning, and sensor fusion for robot perception.

Lars Keuninckx received the M.Eng. degree in telecommunications from Hogeschool Gent, Ghent, Belgium, in 1996, and a B.Sc. in physics and the Ph.D. degree in engineering from Vrije Universiteit Brussel, Brussels, Belgium, in 2009 and 2016, respectively. After his engineering studies, he worked in the industry for several years, designing electronics for automotive, industrial, and medical applications. He joined IMEC, Leuven, in 2019, wherehe is currently Principal Member of Technical Staff in the design of neuromorphic systems. His research interests include the applications of complex dynamics and reservoir computing.

Georges G.E Gielen (Fellow, IEEE) received the MSc and PhD degrees in Electrical Engineering from the Katholieke Universiteit Leuven (KU Leuven), Belgium, in 1986 and 1990, respectively. He currently is Full Professor in the MICAS research division at the Department of Electrical Engineering (ESAT) at KU Leuven. Since 2020 he is Chair of the Department of Electrical Engineering. His research interests are in the design of analog and mixed-signal integrated circuits, and especially in analog and mixed-signal CAD tools and design automation. He is a frequently invited speaker/lecturer and coordinator/partner of several (industrial) research projects in this area, including several European projects. He has (co-)authored 10 books and more than 600 papers in edited books, international journals and conference proceedings. He is a 1997 Laureate of the Belgian Royal Academy of Sciences, Literature and Arts in the discipline of Engineering. He is Fellow of the IEEE since 2002, and received the IEEE CAS Mac Van Valkenburg award in 2015 and the IEEE CAS Charles Desoer award in 2020. He is an elected member of the Academia Europaea.

Francky Catthoor (Fellow, IEEE) received a Ph.D. in electrical engineering from KU Leuven, Belgium in 1987. Between 1987 and 2000, he has headed several research domains in the area of synthesis techniques and architectural methodologies. Since 2000 he is strongly involved in other activities at IMEC including co-exploration of application, computer architecture and deep submicron technology aspects, biomedical systems and IoT sensor nodes, and photo-voltaic modules combined with renewable energy systems, all at IMEC Leuven, Belgium. Currently, he is an IMEC senior fellow. He is also part-time full professor at the Electrical Engineering department of the KU Leuven (ESAT).

作者簡介(中文翻譯)

Ali Safa（IEEE 會員）於比利時布魯塞爾的ULB-VUB獲得電機工程碩士學位（最高榮譽）。他於2020年加入imec和魯汀大學（KU Leuven），目前正在攻讀針對極端邊緣應用的AI驅動處理博士學位。他在2023年春季曾擔任美國拉荷亞的加州大學聖地牙哥分校的訪問研究員。他已在國際期刊和會議論文集中發表或共同發表超過30篇論文。他的研究興趣包括神經形態AI、持續學習以及機器人感知的傳感器融合。

Lars Keuninckx於1996年在比利時根特的根特應用科技大學獲得電信工程碩士學位，並於2009年和2016年在比利時布魯塞爾自由大學獲得物理學學士學位和工程博士學位。完成工程學習後，他在業界工作了幾年，設計汽車、工業和醫療應用的電子產品。他於2019年加入IMEC，現為神經形態系統設計的主要技術成員。他的研究興趣包括複雜動力學和儲存計算的應用。

Georges G.E Gielen（IEEE 會士）於1986年和1990年分別在比利時魯汀大學獲得電機工程碩士和博士學位。他目前是KU Leuven電機工程系（ESAT）MICAS研究部門的全職教授。自2020年以來，他擔任電機工程系主任。他的研究興趣在於模擬和混合信號集成電路的設計，特別是模擬和混合信號CAD工具及設計自動化。他是該領域多個（工業）研究項目的經常受邀演講者/講師及協調者/合作夥伴，包括多個歐洲項目。他已（共同）撰寫10本書籍和超過600篇編輯書籍、國際期刊及會議論文。他是1997年比利時皇家科學、文學與藝術學院工程學科的獲獎者。自2002年以來，他是IEEE會士，並於2015年獲得IEEE CAS Mac Van Valkenburg獎和2020年獲得IEEE CAS Charles Desoer獎。他是歐洲學院的當選成員。

Francky Catthoor（IEEE 會士）於1987年在KU Leuven獲得電機工程博士學位。在1987年至2000年間，他負責多個合成技術和架構方法論的研究領域。自2000年以來，他積極參與IMEC的其他活動，包括共同探索應用、計算機架構和深亞微米技術方面、生物醫學系統和物聯網傳感器節點，以及與可再生能源系統結合的光伏模組，這些均在比利時魯汀的IMEC進行。目前，他是IMEC的高級研究員。他同時也是KU Leuven電機工程系（ESAT）的兼任全職教授。

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