Max Robotics — Global Service Robot Directory + US Certification

About

Matthias Rapp is a leading researcher in autonomous driving and mobile robotics, with a core focus on radar-based perception and localization. His work has fundamentally advanced how autonomous systems interpret their environment using radar sensors, a technology prized for its robustness in adverse weather. Rapp’s major contributions include developing novel radar grid-mapping algorithms for self-localization (88 citations) and a fast, probabilistic ego-motion estimation framework that uniquely integrates spatial and Doppler velocity data (34 citations). He is also recognized for pioneering the use of the Normal Distribution Transform (NDT) for registering radar grid maps, enabling efficient multi-robot exploration, and for creating robust landmark detection and description techniques (FSCD and BASD) essential for reliable autonomous navigation. Through these innovations, Rapp has provided critical tools for making autonomous driving safer and more dependable, solidifying his reputation as a key figure in radar-based perception for intelligent vehicles.