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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取向的估算

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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在没有时间过滤的情况下估计车辆的方向。这使得机会更快地反应某些关键的交通场景。本文介绍了一种估算车辆方向的方法。从文献中已知的定向边界盒算法适用于此结束,并引入质量功能以选择最佳边界框。另外,提出了一种用于确定最佳结果的蛮力方法。

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