Advanced Driver Assistance Systems (ADAS) matured into comprehensive hardware/software applications with exploding complexity. Various simulation-driven techniques emerged to facilitate their development, e.g., model-based design, driving simulators and virtual platforms. Moreover, multi-domain co-simulation standards arose to join such technologies and achieve fully virtual ADAS prototyping. Built upon these concepts, this paper presents the Static Multi-scale Export Layer Tool (SMELT), a retargetable “one-click” ADAS code generation facility. SMELT accelerates ADAS design space exploration by ensuring continuous refinement from the highest-level model representation down to embedded production code generation. To highlight its advantages, an ADAS library was rapidly prototyped using SMELT. Lastly, algorithmic and system-level analyses are presented, alongside simulation performance evaluation.


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    Title :

    Multi-Scale Code Generation for Simulation-Driven Rapid ADAS Prototyping: the SMELT Approach


    Contributors:


    Publication date :

    2018-09-01


    Size :

    732530 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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