论文标题
雷达检测率通过Zalazone的移动机器人平台进行比较
Radar detection rate comparison through a mobile robot platform at the ZalaZONE proving ground
论文作者
论文摘要
由于汽车驾驶车辆由高级驾驶员辅助系统（ADA） /自动驾驶（AD）功能控制，因此感知过程的所选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。但是，数据的正确性并不是必须确保的唯一部分，而是根据当前情况确定必须检查现实的不同技术的局限性，以了解现实是否无错误的决策。在这种情况下，该出版物通过我们的自我开发的机器人移动平台（称为蜘蛛）进行了比较，他们如何在Zalazone证明的基础上检测到测试中的不同类型的对象。
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.
