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Online Calibration of a Camera System in Road Traffic Scenarios for the Validation of Automated Driving Functionalities

机译:道路交通场景中相机系统的在线校准,用于验证自动化驾驶功能

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In this contribution, we introduce an algorithm that allows the estimation of a transformation between two sensor systems. The primary system consists of non-imaging sensors like for example lidar and radar or even a fused combination of these. A camera always represents the secondary system. The algorithm aims at automating the process of calibration entirely during driving. This way, much flexibility and robustness are guaranteed. Changing the placement of the camera remains possible without the need to do a cumbersome manual calibration.
机译:在这种贡献中,我们介绍了一种允许估计两个传感器系统之间的变换的算法。主系统由非成像传感器组成,例如LIDAR和雷达,甚至是这些的融合组合。相机始终代表辅助系统。该算法旨在在驾驶期间完全自动化校准过程。这种方式,保证了大量的灵活性和鲁棒性。改变相机的放置仍然可能,无需进行麻烦的手动校准。

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