Papers
1
Total Citations
6
H-Index
1
About
Jens Schedel is a researcher in embedded systems and reconfigurable computing, with a particular focus on resource-aware programming for multiprocessor system-on-chip (MPSoC) architectures. His most notable contribution is the development of self-adaptive corner detection algorithms that dynamically adjust computational resources based on workload and platform constraints, enabling efficient real-time image processing on MPSoCs. His 2015 paper on this topic, which has garnered 6 citations, demonstrates a pioneering approach to balancing performance, power, and accuracy in resource-limited environments. Schedel’s work is especially relevant for autonomous systems, robotics, and edge computing, where adaptive hardware-software co-design is critical. By integrating runtime resource management with computer vision tasks, he has advanced the practical deployment of intelligent vision systems on embedded platforms. His research continues to influence the design of energy-efficient, scalable embedded architectures, making him a key figure in the intersection of adaptive computing and real-time image analysis.
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