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Rapid Lane Recognition Based on the Road Region

机译:基于道路区域的快速车道识别

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As people's awareness of safety is enhancing, the intelligent vehicle navigation system is paid more attention. The lane recognition is the main approach used by the navigation technology. The algorithm of extracting the lane region is improved in this paper against the past algorithms with poor real-time. Firstly, this algorithm extracts the road region based on the clear dividing line between the road region and non-road region. And next, the road region is scanned vertically from bottom to up by the scanning algorithm using dichotomy, while the lane regions are also extracted. This algorithm improves the efficiency compared with other scanning algorithms. Lastly, according to the lanes' features the lanes can be further recognized. The experiment results show that this algorithm clearly improves the system's operation efficiency and accuracy.
机译:随着人们安全意识的增强,智能车辆导航系统受到越来越多的关注。车道识别是导航技术使用的主要方法。与以往的实时性较差的算法相比,本文对车道区域的提取算法进行了改进。首先,该算法基于道路区域与非道路区域之间的清晰分界线提取道路区域。然后,通过使用二分法的扫描算法从下至上垂直扫描道路区域,同时也提取车道区域。与其他扫描算法相比,该算法提高了效率。最后,根据车道的特征,可以进一步识别车道。实验结果表明,该算法明显提高了系统的运行效率和准确性。

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