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Optimized simulation architecture for multimodal radar modeling: Application to automotive driving assistance system

机译:用于多模式雷达建模的优化仿真架构:汽车驾驶辅助系统的应用

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This paper presents a new radar sensor modeling for Advanced Driver Assistance Systems (ADAS) prototyping. This virtual model is embedded in the SiVIC platform dedicated to the simulation of vehicles, infrastructure and sensors. Lots of simulators already exist addressing radar simulation, but none of them is designed to address in the same time the following objectives: real-time computation, highly sampled signal generation, multiple radar technologies, and, hardware and software platform integration for ADAS prototyping. In this paper, we proposed such a solution solving this issue and a focus will be done on the radar sensor modeling, from material modeling to implemented technology and associated signal processing. First results of this radar sensor modeling is carried out in motorway scenario.
机译:本文为先进的驾驶员辅助系统(ADAS)原型设计提供了一种新的雷达传感器建模。该虚拟模型嵌入在专用于仿真车辆,基础设施和传感器的SIVIC平台中。许多模拟器已经存在寻址雷达仿真,但它们都没有设计用于在以下目标中地址地址:实时计算,高度采样的信号生成,多雷达技术,以及ADA原型的硬件和软件平台集成。在本文中,我们提出了解决这个问题的解决方案,并且将在雷达传感器建模上从材料建模到实现技术和相关信号处理来完成焦点。该雷达传感器建模的第一个结果是在高速公路方案中进行的。

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