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The aim of our project design space exploration with answer set programming is to develop a general framework based on Answer Set Programming (ASP) that finds valid solutions to the system design problem and simultaneously performs Design Space Exploration (DSE) to find the most favorable alternatives. We leverage recent developments in ASP solving that allow for tight integration of background theories...
Autonomous vehicle technology has been rapidly expanding through the incorporation of advanced driver assistance systems in many new vehicles. The integration of autonomous vehicle technology to assist and alert drivers is essential to increase driver safety. The main aim of this paper is to (1) compare real driving data from the Next Generation SIMulation I-80 dataset to an "ideal" driving...
The design of embedded systems is becoming continuously more complex such that efficient system-level design methods are becoming crucial. Recently, combined Answer Set Programming (ASP) and Quantifier Free Integer Difference Logic (QF-IDL) solving has been shown to be a promising approach in system synthesis. However, this approach still has several restrictions limiting its applicability. In the...
Typically, state-of-the-art approaches in system synthesis do not consider the trend in embedded systems design towards systems-of-systems where optimized subsystems exist from previous projects or as 3rd party IP. In this paper, we propose a novel top-down system synthesis approach with additional support for the composition of subsystems that is based on the use of hierarchical mapping edges and...
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