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Automatic extrinsic calibration methods for Surround View Systems

机译:环视系统的自动外部校准方法

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A typical Surround View System consists of several cameras on the vehicle perimeter. This document proposes three novel methods for the extrinsic calibration of Surround View Systems (SVS). I - The first approach uses a single calibration pattern placed step-by-step on the vehicle perimeter. II - The second approach uses several calibration patterns placed on the ground plane. The vehicle drives between the calibration setup. No knowledge of the vehicle's location relative to the calibration patterns is necessary; only distances between the calibration patterns are required. III - The last approach gives the most flexibility in calibration. The features are distributed on the ground plane arbitrarily. The vehicle drives forward and backward and all extrinsic calibration parameters are automatically estimated. Each of these approaches provide very good calibration results, sufficient for the correct operation of SVS.
机译:典型的环绕式系统由车辆周边上的多个摄像机组成。本文档提出了三种新方法,用于环绕式系统(SVS)的外在校准。 i - 第一方法使用在车辆周边上逐步放置的单个校准图案。 II - 第二种方法使用放置在地面上的几种校准图案。车辆在校准设置之间驱动。不需要对车辆的位置知识相对于校准模式是必要的;只需要校准模式之间的距离。 III - 最后一种方法给出了校准的最大灵活性。该特征任意分布在地面平面上。车辆向前且向后驱动,并自动估计所有外部校准参数。这些方法中的每一种都提供了非常好的校准结果,足以进行SV的正确操作。

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