Christoph Mertz

Christoph Mertz is an Associate Research Professor at Carnegie Mellon University’s Robotics Institute, where he works on perception algorithms for autonomous driving, road inspection, mobile robotics, and intelligent transportation systems. His research spans multimodal sensing, 3D vision, lidar-camera fusion, pedestrian detection, and large-scale infrastructure monitoring. Mertz has developed approaches for moving-object tracking, depth completion, crack detection, and environmental mapping, with a long-standing focus on applying robotic perception to safety-critical, real-world problems. His contributions have appeared in top venues such as ICRA, ITSC, 3DV, and the Journal of Field Robotics, and many of his works—including PCN for point cloud completion and seminal papers on pedestrian tracking—have been highly influential in both academia and industry. Mertz collaborates broadly across robotics and transportation communities, contributing expertise that bridges algorithmic innovation with deployable autonomous systems.