Lane Estimation using Improved Hough Transform for Isolated and Metro Highway

Ningthoujam Johny Singh, Kishorjit Nongmeikapam
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Abstract

With the rapid development in technology, there is a need for lane detection system particularly for autonomous vehicle for safe driving thereby preventing accidents. A new lane detection method is proposed which used randomized Hough transform along with image enhancement techniques as preprocessing step. Use of image enhancement techniques provide better segmentation by eliminating unimportant part by defining region of interest. It is found from the experimental result that the proposed system performs better than other existing methods by using precision, recall and fmeasure as evaluation metrics.
基于改进Hough变换的孤立和地铁公路车道估计
随着科技的飞速发展,为了保证自动驾驶汽车的安全行驶,需要车道检测系统来防止事故的发生。提出了一种采用随机霍夫变换和图像增强技术作为预处理步骤的车道检测方法。使用图像增强技术通过定义感兴趣的区域来消除不重要的部分,从而提供更好的分割。实验结果表明,以查全率、查全率和检出率作为评价指标,该系统的性能优于现有的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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