模拟驱动快速ADAS原型的多尺度代码生成:冶炼方法

Robert Buecs, Marcel Heistermann, R. Leupers, G. Ascheid
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引用次数: 2

摘要

高级驾驶辅助系统(ADAS)已经成熟为复杂程度呈爆炸式增长的综合硬件/软件应用。各种仿真驱动技术的出现促进了它们的发展,例如基于模型的设计、驾驶模拟器和虚拟平台。此外,还出现了多领域联合仿真标准,将这些技术结合起来,实现全虚拟ADAS原型。基于这些概念,本文提出了静态多尺度导出层工具(SMELT),这是一种可重定向的“一键式”ADAS代码生成工具。通过确保从最高级模型表示到嵌入式生产代码生成的持续改进,冶炼厂加速了ADAS设计空间的探索。为了突出它的优点,ADAS库使用SMELT快速原型化。最后,给出了算法和系统级分析,以及仿真性能评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Scale Code Generation for Simulation-Driven Rapid ADAS Prototyping: the SMELT Approach
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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