Frank Schurz
Papers
1
Total Citations
14
H-Index
1
About
Frank Schurz is a researcher whose work lies at the intersection of reconfigurable computing, real-time image processing, and embedded systems. His key contributions center on leveraging Field-Programmable Gate Arrays (FPGAs) to create high-performance, programmable parallel processor architectures for industrial and robotic vision applications. His most cited paper, "A Programmable Parallel Processor Architecture in FPGAs for Image Processing Sensors" (2007, 14 citations), addresses the critical challenge of meeting sub-10 millisecond object detection requirements in future robot assistants—a feat unattainable by conventional DSPs or microcontrollers operating in a pixel-serial fashion. By proposing a parallel processing framework on FPGAs, Schurz demonstrated how to achieve the necessary speed without relying on excessive system clocks. This work highlights his focus on bridging the gap between demanding real-time constraints and practical hardware implementations. While his citation count reflects a niche but impactful contribution, his research is foundational for engineers developing next-generation autonomous systems where latency is paramount. Schurz’s insights continue to inform the design of efficient, sensor-driven computing architectures in robotics and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1