Deep learning processing technologies for embedded systems

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Deep learning processing technologies for embedded systems

Event: AutoSens Brussels

| Session date: Thursday 20th September

Session date: Thursday 20th September

, 2018

• Presentation of the problem of image processing in a typical AV/ADAS scenario, both in terms of required resources and of compute paradigm. • Exploring the theoretical limits for processing efficiency, and analysis of the deficiencies which contribute to the large gap between theory and practice for different approaches. • Analysing rear-view camera feed for parking assist to float some of the inherent system issues, performance requirements and the huge potential unlocked by a capable solution for running NNs locally. • Guidelines for designing processing systems to achieve the required efficiency for running state of the art deep learning on embedded devices