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Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems

Applications in Drone Navigation and Radar Sensing

Paperback Engels 2025 9783031635670
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Samenvatting

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

Specificaties

ISBN13:9783031635670
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Switzerland

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Inhoudsopgave

<p>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.</p>

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        Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems