多感官驾驶辅助系统快速算法原型的灵活系统架构

T. Muller, S. Furst
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引用次数: 0

摘要

提出了一种用于多传感器驾驶辅助系统快速算法原型设计的灵活系统架构,可实现不同传感器和执行器的快速集成。在这个所谓的“算法系统”中,功能组件的数量以及描述当前交通场景的特征可以很容易地扩展或更改。现有的算法可以不花钱地集成到算法系统中。由于算法系统在ANSI C语言中实现,符合OSEK标准,并且与测量、测试和仿真环境严格分离,因此源代码可以很容易地移植到控制系统的硬件上。本文详细介绍了该算法系统的结构、各组成部分、各过程以及不同开发阶段的整车集成情况。最后一节展示了这种方法在“雷达摄像头ACC”和“车道保持支持”的原型开发中的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flexible system architecture for rapid algorithmic prototyping of multi-sensorial driver assistance systems
A flexible system architecture for the rapid algorithmic prototyping of multi-sensorial driver assistance systems is presented, which allows a fast integration of different sensors and actuators. In this so called "algorithmic system" the number of functional components, as well as the features describing the current traffic scene, can be easily expanded or changed. Existing algorithms can be integrated into the algorithmic system without an expense. Due to the implementation of the algorithmic system in ANSI C, the OSEK conformity and the strict separation from the measurement, test and simulation environment, the source code can be easily ported to a control system hardware. The paper describes in detail the structure of the algorithmic system, its different elements, processes and the vehicle integration during different phases of development. The last section shows the advantages of this approach in the prototype developments of a "radar camera ACC" and a "lane keeping support".
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