Sensor Fusion on Low Power AI Preprocessor - Centralized Fusion Approaches
EDGE AI FOUNDATION via YouTube
Overview
Watch a 25-minute conference talk from tinyML Asia 2022 exploring sensor fusion implementation on low-power AI preprocessors. Learn how centralized fusion approaches can achieve real-time, low-latency performance by forwarding data to a central processing location. Discover practical approaches for running algorithms and machine learning models using ARM NPU & CPU architectures combined with routed digital ASIC designs. Join eYs3D's Chief Strategy & Sales Officer James Wang as he explains how sensor fusion technology combines data from multiple sources to reduce uncertainty compared to using individual sensors alone.
Syllabus
tinyML Asia 2022 James Wang: Sensor fusion on low power AI pre processor
Taught by
EDGE AI FOUNDATION