Surpassing State-of-the-Art Computer Vision Accuracy and Robustness with an Autonomous Vision Approach

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Surpassing State-of-the-Art Computer Vision Accuracy and Robustness with an Autonomous Vision Approach

Event: AutoSens Brussels

, 2017

•Challenge of bringing novel learning models, algorithms and physical components together in an efficient manner •How to provide the technology robustness that will enable today’s assistance systems to jump to fully autonomous systems •Showcasing the intersection of all the technologies in the supply chain and what is needed to empower the optimization of vision system performance