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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:在汽车驾驶辅助系统中的应用

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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:本文介绍了一种用于高级驾驶员辅助系统(ADAS)原型的新型雷达传感器建模。该虚拟模型被嵌入专用于车辆,基础设施和传感器仿真的SiVIC平台中。已经有许多模拟器可以解决雷达模拟问题,但没有一个模拟器可以同时解决以下目标:实时计算,高度采样的信号生成,多种雷达技术以及用于ADAS原型制作的硬件和软件平台集成。在本文中,我们提出了一种解决此问题的解决方案,并将重点放在雷达传感器建模上,从材料建模到已实现的技术以及相关的信号处理。该雷达传感器建模的初步结果是在高速公路场景中进行的。

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