Radar Detection Rate Comparison through a Mobile Robot Platform at the ZalaZONE Proving Ground

V. Jiménez, C. Schwarzl, Szilárd Josvai
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Abstract

Since an automotive driving vehicle is controlled by Advanced Driver-Assistance Systems (ADAS) / Automated Driving (AD) functions, the selected sensors for the perception process become a key component of the system. Therefore, the necessity of ensuring precise data is crucial. But the correctness of the data is not the only part that has to be ensured, the limitations of the different technologies to accurately sense the reality must be checked for an error-free decision making according to the current scenario. In this context, this publication presents a comparison between two different automotive radars through our self-developed robot mobile platform called SPIDER, and how they can detect different kinds of objects in the tests carried out at the ZalaZONE proving ground.
通过ZalaZONE试验场移动机器人平台的雷达探测率比较
由于汽车驾驶车辆由高级驾驶辅助系统(ADAS) /自动驾驶(AD)功能控制,因此选择用于感知过程的传感器成为系统的关键组成部分。因此,确保精确数据的必要性至关重要。但数据的正确性并不是唯一需要确保的部分,必须检查不同技术在准确感知现实方面的局限性,以便根据当前场景做出无错误的决策。在这种情况下,本出版物通过我们自主开发的机器人移动平台SPIDER对两种不同的汽车雷达进行了比较,以及它们如何在ZalaZONE试验场进行的测试中检测不同类型的物体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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