Wannes van der Mark

Ministry of Defence, University of Amsterdam, University of Auckland

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About

Wannes van der Mark is a researcher whose work sits at the intersection of computer vision, robotics, and 3D modeling, with a particular focus on autonomous navigation and perception in challenging, unstructured environments. His key research areas include stereo vision, obstacle detection for off-road robotics, sensor fusion for humanitarian demining, and image-based 3D content creation. His most impactful contribution is a stereo-based obstacle detection method for rough terrain, which clusters reconstructed terrain points into obstacles by evaluating relative angles and distances—a foundational approach for autonomous robot vehicles operating off-road (34 citations). Van der Mark also contributed to the LOTUS platform for humanitarian demining, developing camera-based tracking and sensor motion estimation to fuse data from multiple sensors for reliable landmine detection. Later work explored high-resolution 3D content creation from unconstrained, uncalibrated cameras, aiming to democratize 3D modeling by reducing the need for expensive equipment. His research demonstrates a consistent focus on enabling machines to perceive and navigate complex, real-world environments, from battlefields to natural landscapes.