Eva Dokladalova

Research

My current area of research focuses on embedded vision systems, going from the design of new vision methods, passing by low computing complexity and parallel algorithms up to the development of dedicated embedded systems architectures.

My present research interests involve:

• Unsupervised perceptual methods for UAVs navigation applications (collaboration with CMM Mines-ParisTech)
• Reduced models for deep learning (collaboration with CMM Mines-ParisTech)
• Low complexity and parallel algorithms for mathematical morphology and distance functions