Photogrammetry and Remote Sensing

At the Professorship of Photogrammetry and Remote Sensing (PRS), we build 3D in silico replicas of our world. We research how machines can see, understand, and interact with the world in 3D. Situated at the intersection of computer vision, robotics, and artificial intelligence, our work develops algorithms for 3D reconstruction, semantic understanding, and multimodal sensor fusion - from satellite and aerial imagery to mobile and embodied sensing systems.

Our goal is to create digital twins that provide photorealistic and geometrically precise representations of real-world environments. Applications range from environmental monitoring and its semantic understanding to built-environment modeling and robotic perception. We analyze multimodal data from image sequences, LiDAR, radar, and other sensor modalities to detect, reconstruct, and interpret objects and scenes across scales.

Our motto: “Making Machines See and Think in 3D” - from sensor to system.