Michaël Fonder

Status : PhD Student

Title of thesis  : Robust monocular depth estimation in unstructured environments for a free-flying camera

Research Topic / Interests : My research aims at developing a depth estimation method using the images recorded by an RGB camera that is robust enough to work in unknown/unstructured environments, and that could be embedded in small autonomous vehicles/UAVs. My research interests therefore involve: Computer vision, deep learning, real-time processing, and visual odometry.

ARIAC Work Package : WP3 - integration of models and AI: theory-guided/physic-guided AI, digital twins, simulated data & reinforcement learning, simulation-based