Franz Rinnerthaler
Papers
2
Total Citations
12
H-Index
2
About
Franz Rinnerthaler is a researcher specializing in embedded vision systems, with a focus on real-time image processing for robotics and autonomous applications. His work addresses the critical challenge of achieving high-performance computer vision on resource-constrained platforms, where power efficiency and compact size are paramount. Rinnerthaler’s major contributions include pioneering the integration of DSP/FPGA co-processor architectures to significantly boost the computing power of embedded systems, as demonstrated in his 2007 paper on boosting performance for vision systems. This approach enables sophisticated sensor processing—such as object tracking and environment perception—on small-scale devices, a key enabler for domains like robot soccer. His research has practical implications for autonomous navigation and industrial automation, with his most-cited work garnering 8 citations. Notably, his 2007 paper on an embedded vision sensor for robot soccer showcases his ability to translate complex algorithms into deployable, real-time solutions. Rinnerthaler’s work remains influential for engineers and researchers seeking to bridge the gap between computational demands and hardware limitations in embedded vision.
Research Focus
Key Achievements
Top Papers
- 1
- 2An Embedded Vision Sensor for Robot Soccer4 citations · 2007