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New results in stereovision based lane tracking

机译:基于立体舟巷跟踪的新结果

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Robust and versatile lane tracking solutions can be developed using particle filter based tracking, stereo data and grayscale image processing. This paper presents multiple improvements for our previously published solutions. The lane model is extended by parameters such as width variation, vertical offset, and widths of lane markings. The increased flexibility in lane modeling is matched by a better use of measurement data, and the particle weighting process will benefit from two additional cues. The extensions in lane model and in particle weighting provide a more powerful description of the lane, but will also increase the stability and accuracy for the estimation of all lane parameters.
机译:可以使用基于粒子滤波器的跟踪,立体声数据和灰度图像处理来开发强大而多功能的车道跟踪解决方案。 本文为先前发布的解决方案提供了多种改进。 车道模型由诸如宽度变化,垂直偏移和车道标记的宽度的参数扩展。 Lane建模的灵活性增加通过更好地利用测量数据来匹配,并且粒子加权过程将受益于两个额外的提示。 车道模型和粒子加权的扩展提供了更强大的车道描述,但还将增加所有车道参数估计的稳定性和准确性。

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