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Pedro F. Proença is a postdoctoral researcher that started at JPL in 2020. At JPL, he has developed perception and state estimation software for several projects, including: terrain mapping, landing site detection and map-based localization for the Mars Science Helicopter Advanced Navigation Task; hazard mapping for CADRE rovers; object tracking and 3d localization for UAVs equipped with a thermal camera; and proprioceptive state estimation for EELS.
Prior to JPL, he completed his PhD on Robust RGB-D Odometry under Depth Uncertainty for Structured Environments and worked on several projects using deep learning for computer vision.