修正了由于相机姿势和位置引起的垂直畸变

James Sewell, T. V. van Niekerk, R. Phillips
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摘要

本文讨论了基于视觉的农业机器人行内导航系统的开发。该系统的开发是为了减少农业机器人导航视觉系统由于倾斜、面向前方的姿态和位置而产生的垂直畸变。通过将图像平面视图和视觉系统的视场(FOV)的地平面投影之间的单应性联系起来,以创建作物的辅助视图,从而减轻了这种失真。这个辅助视图代表了相机视场内可见裁剪区域的鸟瞰图。当与双重分割技术结合使用时,这种鸟瞰图用于识别作物行几何形状,以将作物植物与外来植被隔离开来。通过该系统的实现,实现了农业机器人行内导航中收敛垂直畸变的缓解和作物几何形状的成功检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correction of converging verticals distortion due to camera pose and position
This paper discusses the development of a vision-based intra-row navigation system for an agricultural robot. The development of this system was used to reduce the effects of converging verticals distortion due to the inclined, forward facing pose and position of the navigation vision system of the agricultural robot. The mitigation of this distortion was achieved through relating the homography between the image plane view and the ground plane projection of the vision system's field of view (FOV) to create an auxiliary view of the crop. This auxiliary view represented an aerial view of the visible crop area within the camera's FOV. This aerial view was used to discern crop row geometry when used in conjunction with a dual segmentation technique to isolate crop plants from foreign vegetation. Through the implementation of this system, mitigation of converging verticals distortion and successful crop geometry detection for the intra-row navigation of an agricultural robot was achieved.
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