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Mixed-criticality systems (MCS) aim at boosting the integration density in safety-critical systems, resulting into efficient systems, while simultaneously providing increased performance. The DREAMS project provides a cross-domain architectural style for MCS based on networked, virtualized multi-cores controlled by hierarchical resource managers. However, the availability of a platform is only one...
Mixed-Criticality Systems (MCS) reconcile safetycritical requirements with multi-core architectures, by offering spatial and temporal isolation while preserving other extrafunctional properties such as optimised energy consumption or minimised latencies. MCS designers struggle to manually balance the offered functionalities with pertinent implementation choices in order to ensure that the system eventually...
Many approaches in computer vision require multiple retrievals of histograms for rectangular patches of an input image. In 2005 an algorithm to accelerate these retrievals was presented. The data structure utilized is called Integral Histogram, which was based on the well known Integral Image. In this paper we propose a novel approximating method to obtain these integral histograms that outperforms...
While robot systems become more and more elaborate, the need to simplify programming them grows as well. Regarding the high degree of internal heterogeneity in the sense that different microcontroller platforms, protocols and performance layers are used in a single robot application, it is not feasible to have specialists dedicated to each individual task. This motivates the need for tool support...
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