3.2车载GNSS接收机航拍图像数据认证

P. Mendes, E. Mrohs, C. Akhimien, F. Kurz, V. Gstaiger, H. Runge
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引用次数: 0

摘要

提出了一种新的校准和验证方法,针对汽车行业中使用的GNSS接收器的认证,解决了现实世界条件下的3级和4级自动化问题。该方法同时使用从直升机获得的高分辨率航空图像数据,与地面控制点精确地进行地理参考。该方法为车辆在GNSS关键区域(如GNSS拒绝型环境)提供了参考轨迹。获得的图像包含带有信号GNSS接收器天线的车辆车顶。结合精确的路面高度模型,可以从图像中的位置导出GNSS接收器在世界坐标下的绝对位置。本文给出了2021年7月使用该方法进行的一次测试活动的主要结果。研究了GNSS传感器的质量如何受到环境(农村、公路和城市)的影响,以及该方法提供的附加价值。在GNSS定位精度下降的情况下,即使使用RTK,该方法也被证明具有弹性和鲁棒性,因为局部效应不会影响新方法。该方法提供了高精度的参考轨迹,便于校准、验证和符合性测试。在本贡献中,重点将放在导致认证的验证和测试过程上。
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3.2 Certification of automotive GNSS receivers using aerial image data
: A new method for calibration, validation aiming at certification of GNSS receivers used in the automotive industry addressing the levels 3 and 4 of automation under real world conditions is presented. The method uses simultaneously acquired high-resolution aerial image data, from a helicopter, which is precisely georeferenced with Ground Control Points. The method provides a reference trajectory for vehicles in GNSS critical areas, e.g., GNSS-denied type environments. The images obtained contain the vehicle’s roof with the signalized GNSS receiver antenna. Together with a precise height model of the road surface, the absolute position of the GNSS receiver in world coordinates can be derived from the position in the image. The main results of a test campaign, performed in July 2021, using the method are presented. It was investigated how the quality of the GNSS sensors is influenced by the environment (Rural, Highway and Urban) and what added value the method provides. The method proved to be resilient and robust to situations where the GNSS position accuracy degrades, even when RTK is used, as local effects do not impact the new method. The method provides high-precision reference trajectories facilitating calibration, validation, and conformity testing. In this contribution the focus will be set on the validation and testing process leading to certification.
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