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A novel method for the extrinsic calibration of a 2-D laser-rangefinder a camera

机译:一种新的2-D激光测距仪和相机外在校准的方法

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We present a novel method for extrinsically calibrating a camera and a 2-D Laser Rangefinder (LRF) whose beams are invisible from the camera image. We show that point-to-plane constraints from a single observation of a V-shaped calibration pattern composed of two non-coplanar triangles suffice to uniquely constrain the relative pose between two sensors. Next, we present an approach to obtain solutions using point-to-plane constraints from single or multiple observations. Along the way, we also show that previous solutions, in contrast to our method, have inherent ambiguities and therefore must rely on a good initial estimate. Real and synthetic experiments validate our method and show that it achieves better accuracy than previous methods.
机译:我们提出了一种新的方法,用于外在校准相机和2-D激光测距仪(LRF),其梁从相机图像中看不见。我们示出了由两个非共面三角形组成的V形校准图案的单一观察点对平面约束,以唯一地限制两个传感器之间的相对姿势。接下来,我们提出了一种方法来使用来自单个或多个观察的点对平面约束来获得解决方案。一路上,我们还表明以前的解决方案与我们的方法相比,具有固有的歧义,因此必须依赖于良好的初始估计。实际和合成实验验证了我们的方法,并表明它实现了比以前的方法更好的准确性。

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