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Lane departure warning for mobile devices based on a fuzzy representation of images

机译：基于图像的模糊表示的移动设备车道偏离警告

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The use of driver assistance systems is a current trend in the car industry. However, most driver assistance systems require the use of multiple sensors, increasing the cost of their implementation in cars and making them inaccessible to many users. In this paper, we present an "efficient" Lane Departure Warning system for mobile devices, which is real-time, accurate and accessible to most users. On the one hand, the accuracy of the system relies on Line Detection based on Hough Transforms, a combination that has proven to be reliable for this goal in many approaches. On the other hand, the reduction of the computational time, to achieve real-time processing, is due mainly to a proposed fuzzy representation of images. Finally, we also present various tests that show that the system proposed runs at up to 20 FPS on a mobile device (with a dual-core CPU at 1.0 GHz) with a resolution of 320 x 240 px. (C) 2015 Elsevier B.V. All rights reserved.
机译：驾驶员辅助系统的使用是汽车工业的当前趋势。然而，大多数驾驶员辅助系统需要使用多个传感器，这增加了其在汽车中实施的成本，并使许多用户无法使用它们。在本文中，我们提出了一种针对移动设备的“高效”车道偏离警告系统，该系统实时，准确且大多数用户可以访问。一方面，系统的准确性取决于基于霍夫变换的线路检测，该组合已被证明在许多方法中均可实现此目标。另一方面，减少计算时间以实现实时处理，主要是由于提出了图像的模糊表示。最后，我们还提供了各种测试，表明所建议的系统在分辨率为320 x 240 px的移动设备（带有1.0 GHz双核CPU）上的运行速度高达20 FPS。 （C）2015 Elsevier B.V.保留所有权利。

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