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Estimation of the orientation of vehicles in high-resolution radar images

机译:高分辨率雷达图像中车辆方向的估计

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The availability of high-resolution image radars allows estimating the orientation of vehicles from a single measurement without temporal filtering. This gives the opportunity to react even faster to certain critical traffic scenes. This paper presents an approach for estimating the orientation of a vehicle. The orientated bounding box algorithm known from literature is adapted to this end and a quality function is introduced to choose the optimal bounding box. In addition, a brute-force approach for determining the best possible outcome is presented.
机译:高分辨率图像雷达的可用性允许通过单次测量来估计车辆的方向,而无需进行时间滤波。这提供了对某些关键交通场景做出更快反应的机会。本文提出了一种估计车辆方向的方法。为此,将文献中已知的定向边界框算法进行了调整,并引入了一个质量函数来选择最佳边界框。此外,提出了一种确定最佳结果的蛮力方法。

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