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Sensitivity of camera’s height based on coordinate variation of monocular vision ranging model

机译:基于单眼视觉测距模型坐标变化的相机高度的敏感性

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Using computer vision technology to perceive the distance of obstacles is an important technology in intelligent driving decision-making. Monocular vision ranging technology has a wide application range and reduces the requirement of camera quality, so it is a hot research direction in the field of visual ranging. In practical application, the change of the camera’s external parameters will have a certain impact on the ranging accuracy. This paper will study the sensitivity of the monocular vision ranging model based on the coordinate change to the camera height. We propose a conjecture that the product of the model’s formula accuracy and the height measurement accuracy is equal to the final ranging accuracy of the model. This conjecture will be preliminarily verified through experiments in this paper, and an error correction mechanism is proposed to reduce the impact of camera height changes on ranging accuracy.
机译:使用计算机视觉技术来认识到障碍的距离是智能驾驶决策中的重要技术。 单眼视觉测距技术具有广泛的应用范围,并降低了相机质量的要求,因此它是视野中的热门研究方向。 在实际应用中,相机外部参数的变化将对测距精度产生一定的影响。 本文将基于坐标变化对相机高度的坐标变化来研究单眼视觉测距模型的敏感性。 我们提出了一种猜想,模型的配方精度和高度测量精度的乘积等于模型的最终测距精度。 本文通过实验预先验证该猜测,提出了纠错机制,以减少相机高度变化对测距精度的影响。

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