Matthias Schreier

Papers

Total Citations

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About

Matthias Schreier is a researcher whose work spans autonomous robotics, aerial vehicle control, and intelligent transportation systems. He has made significant contributions to two rapidly evolving fields: unmanned aerial vehicle (UAV) control and Advanced Driver Assistance Systems (ADAS). Schreier's most influential work, "Modeling and Adaptive Control of a Quadrotor" (2012), has garnered 72 citations and proposes innovative adaptive state-space controllers for quadrotor stabilization, combining Model Identification Adaptive Control with recursive least-squares estimation — a meaningful step forward in making aerial robots self-tuning and robust. This theme continues in his 2013 work on quaternion-based adaptive attitude control schemes, which addresses the practical challenge of dynamically changing system parameters in load-carrying quadrotors. Beyond aerial robotics, Schreier has contributed to intelligent vehicle research through his development of Parametric Free Space (PFS) maps, a compact and versatile environment representation designed for ADAS applications, bridging concepts from mobile robotics with real-world automotive needs. This work has earned 21 citations and reflects his ability to transfer foundational robotics concepts into applied transportation contexts. His research demonstrates a consistent focus on adaptive, efficient, and practical solutions across multiple autonomous systems domains.