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Artificial Landmark Positioning System Using Omnidirectional Vision for Agricultural Vehicle Navigation

机译:基于全向视觉的农用车辆导航人工地标定位系统

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The positioning of agricultural vehicle for autonomous navigation systems is important. We proposed a novel simple and inexpensive positioning system utilized by four artificial landmarks and an omni directional vision sensor. The red intensity pixels not less than threshold were extracted as a small area in the omni directional image and the center of the gravity was calculated as one landmark position. The direction angles between the neighboring landmarks were calculated after detecting all landmarks. Location of the vehicle was estimated by the center of gravity of four intersections formed by four arcs according to geometric transformation based on four direction angles of four landmarks with camera. In the field experiment, the sensor was fixed on the ground 50 m × 50 m square area in the sunshine to get clear images and examined the accuracy of the position estimation algorithm. Another experiment was done to test practical application with vehicle in a straight-line driving. The field experimental results showed that the mean absolute error of the four direction angles was about 1 to 2 degree and the RMS error in distance was about 24.51 cm. The vehicle practical experimental results showed that the real-time distance errors were mostly between about 3 cm to 10 cm. The RMS error was about 8.34 cm. This positioning system is a simple, feasible and prospective system for agricultural vehicle navigation.
机译:农用车辆在自动导航系统中的定位很重要。我们提出了一种新颖的,简单而便宜的定位系统,该系统利用了四个人工地标和一个全向视觉传感器。在全向图像中,将不小于阈值的红色强度像素提取为一小块区域,并将重心计算为一个界标位置。在检测所有地标之后,计算相邻地标之间的方向角。通过基于四个地标的四个方向角的几何变换,利用摄像头通过四个弧线形成的四个交叉点的重心来估计车辆的位置。在野外实验中,将传感器固定在日光下50 m×50 m的地面上以获取清晰的图像,并检查了位置估计算法的准确性。进行了另一个实验以测试车辆在直线行驶中的实际应用。现场实验结果表明,四个方向角的平均绝对误差约为1至2度,距离的RMS误差约为24.51 cm。车辆实际实验结果表明,实时距离误差大多在3 cm至10 cm之间。 RMS误差约为8.34厘米。该定位系统是用于农用车辆导航的简单,可行和预期的系统。

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