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From virtual to reality, how to prototype, test and evaluate new ADAS: Application to automatic car parking

机译:从虚拟到现实,如何原型设计,测试和评估新的ADAS:在自动泊车中的应用

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Over the past decade, a lot of researches have been done on the development of advanced driver assistance systems (ADAS). Most of these ADAS are now active and need to be tested and evaluated before large deployment. In these ADAS, the prototyping and the implementation of the control stages are risky stages and not so easy to carry out. Indeed, the prototyping and the test of such reactive algorithms need heavy hardware and software supports (dedicated vehicle, actuators, hardware architecture, software architecture, sensors). To achieve such active devices, additional developments and implementation of numerous expensive embedded devices are required. Therefore, in order to reduce both time and risk, in early design stage, it becomes necessary to have a very realistic simulation environment dedicated to the development and to the evaluation of these ADAS. For such virtual platform, it is mandatory to provide physics-driven road environments, virtual embedded sensors, and physics-based vehicle models. In this publication, we present a dedicated couple of platforms with their efficient interconnection for the prototyping of such ADAS. Initially, the SiVIC simulation platform has been developed to generate the virtual world (environments, sensors, actuators, vehicles). In order to improve the real time prototyping capabilities of SiVIC, an efficient interconnection of this first platform has been done with RTMaps platform. This second one is mainly dedicated to the multi-sensors data processing (data management, fusion, flow recording and replaying). In this paper we will show the interest of such bi-directionnal interconnected platforms to prototype complex and real time embedded ADAS. This interconnection can be done not only on one computer but also on a distributed and distant computers architecture. The relevance of this approach will be illustrated with an automatic parking application.
机译:在过去的十年中,已经在高级驾驶员辅助系统(ADAS)的开发方面进行了大量研究。这些ADAS中的大多数现在都处于活动状态,需要在大规模部署之前进行测试和评估。在这些ADAS中,原型设计和控制阶段的实施是有风险的阶段,并非那么容易执行。实际上,此类反应性算法的原型设计和测试需要大量的硬件和软件支持(专用车辆,致动器,硬件架构,软件架构,传感器)。为了实现这样的有源设备,需要大量昂贵的嵌入式设备的附加开发和实现。因此,为了减少时间和风险,在设计的早期阶段,必须有一个非常现实的仿真环境,专门用于这些ADAS的开发和评估。对于这种虚拟平台,必须提供物理驱动的道路环境,虚拟嵌入式传感器和基于物理的车辆模型。在本出版物中,我们介绍了专用的一对平台及其有效互连,以实现此类ADAS的原型制作。最初,已经开发了SiVIC仿真平台来生成虚拟世界(环境,传感器,致动器,车辆)。为了提高SiVIC的实时原型制作能力,已经使用RTMaps平台完成了该第一个平台的有效互连。第二部分主要致力于多传感器数据处理(数据管理,融合,流记录和重放)。在本文中,我们将展示这种双向互连平台对原型复杂和实时嵌入式ADAS的兴趣。这种互连不仅可以在一台计算机上完成,而且可以在分布式和远程计算机体系结构上完成。这种方法的相关性将通过自动泊车应用程序进行说明。

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