首页> 外国专利> A method for providing a camera-based robust object distance prediction by more precisely performing pitch calibration of a camera by fusing information acquired via V2V communication with information acquired via a camera, and the same. Equipment using

A method for providing a camera-based robust object distance prediction by more precisely performing pitch calibration of a camera by fusing information acquired via V2V communication with information acquired via a camera, and the same. Equipment using

机译:一种通过将经由V2V通信获取的信息与经由摄像头获取的信息融合而更精确地执行摄像头的俯仰校准,从而提供基于摄像头的鲁棒物距预测的方法。设备使用

摘要

PROBLEM TO BE SOLVED: To provide a method for accurately predicting a distance even when the quality of an input image is not good. A method of using additional information acquired via V2V communication for pitch calibration, wherein an initial pitch calibration module of a computing device applies a pitch calculation operation to a reference image to perform an initial prediction. A process of generating a pitch and a process of generating a reference object detection information by applying a neural network operation to a reference image with an object detection network, an adjustment pitch calibration module selects a target object, and a target object After calculating the predicted target height of, the error corresponding to the initial predicted pitch is calculated, and the adjusted predicted pitch for the target camera is determined using the error. [Selection diagram] Figure 2
机译:要解决的问题:提供一种即使输入图像的质量不好也能准确预测距离的方法。一种使用通过V2V通信获取的附加信息进行音高校准的方法,其中,计算设备的初始音高校准模块将音高计算操作应用于参考图像以执行初始预测。通过利用对象检测网络对参考图像进行神经网络操作来生成音调的过程和生成参考对象检测信息的过程,调整音调校准模块选择目标对象,并在计算出预测值后选择目标对象如果目标高度为目标高度,则计算与初始预测音高相对应的误差,并使用该误差确定针对目标相机的调整后的预测音高。 [选择图]图2

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