Homography-based visual control of nonholonomic vehicles: A new approach

S. Sana, Hamerlain Mustapha, T. Mohamed
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Abstract

This paper presents a new visual control approach based on homography. The control law is designed for nonholonomic vehicles with a fixed monocular system on board. The method uses a homography measured from the reference image and the current image in the feedback control law. The idea of the visual control used here is the usual approach where the desired position of the robot is given by a target image taken at that position. When starting from an unknown position the control law uses the feedback from the camera to move the robot towards this target image plane which is the only previous information needed to position the robot at the desired position. The contribution is the fuzzy controller used as a visual feedback control that is an intelligent controller without needing neither the decomposition of the homography nor the depth estimation to the target.
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基于同形词的非完整车辆视觉控制新方法
提出了一种新的基于单应性的视觉控制方法。针对车载固定单目系统的非完整车辆,设计了控制律。该方法在反馈控制律中使用参考图像和当前图像测量的单应性。这里使用的视觉控制思想是通常的方法,其中机器人的期望位置是由在该位置拍摄的目标图像给出的。当从未知位置出发时,控制律利用摄像机的反馈将机器人移动到目标图像平面,这是机器人定位到期望位置所需的唯一先前信息。其贡献在于模糊控制器作为一种视觉反馈控制,是一种既不需要单应性分解也不需要对目标进行深度估计的智能控制器。
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