集成到自动驾驶模拟器中的实时汽车雷达传感器模型的通用验证方案

M. Jasinski
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引用次数: 6

摘要

随着先进驾驶辅助系统的日益复杂,开源自动驾驶模拟器的开发成为一个重要的课题。然而,一个强大的虚拟环境不仅应该通过其逼真的物理或3D资产多样性来评估,而且还必须结合高度精确和实时的传感器模型。本文的研究介绍了一种验证雷达传感器模型的鲁棒方法,可以在虚拟场景中简单地证明其可靠性。为了概述雷达传感器建模方法,根据简单的标准,根据虚拟环境中的使用情况对文献中可用的解决方案进行评估。最后,给出了集成到CARLA模拟器中的典型雷达传感器模型,并对进一步研究进行了简要概述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Generic Validation Scheme for real-time capable Automotive Radar Sensor Models integrated into an Autonomous Driving Simulator
Since Advanced Driver Assistance Systems are getting more and more complex a strong effort is put into the development of open-source autonomous driving simulators. However a robust virtual environment should not only be assessed by its realistic physics or 3D assets variety, but it also has to incorporate highly accurate and real-time capable sensor models. The research presented in this paper introduces a robust method for validating radar sensor models enabling a simple proof of their reliability in a virtual scenario. To give an overview of radar sensor modeling approaches, the solutions available in the literature are evaluated in terms of usage in virtual environments based on simple criteria. Finally, an exemplary radar sensor model integrated into the CARLA simulator is presented and also a short outline of further research is depicted.
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