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

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 i...

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Збережено в:
Бібліографічні деталі
Автори: Safa, Ali (Автор), Keuninckx, Lars (Автор), Gielen, Georges (Автор), Catthoor, Francky (Автор)
Співавтор: SpringerLink (Online service)
Формат: Електронний ресурс eКнига
Мова:Англійська
Опубліковано: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Редагування:1st ed. 2024.
Предмети:
Electronic circuit design.
Embedded computer systems.
Cooperating objects (Computer systems).
Electronics Design and Verification.
Embedded Systems.
Cyber-Physical Systems.
Онлайн доступ:https://doi.org/10.1007/978-3-031-63565-6
Теги: Додати тег
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Зміст:
  • Introduction
  • Bridging the accuracy gap between SNNs and DNNs via the use of pre-processing for radar applications
  • Design of a drone platform for sensor fusion data acquisition
  • A top-down approach to SNN-STDP networks
  • Sensor-fusion SLAM with continual STDP learning
  • Continually learning people detection from DVS data
  • Active inference in Hebbian learning networks
  • Conclusions and future work
  • Appendix.

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