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基于改进Hough变换和FPGA的车道线检测应用

发表时间:2014-10-31  浏览量:1561  下载量:646
全部作者: 高振斌,赵盼
作者单位: 河北工业大学信息工程学院
摘 要: 在现场可编程逻辑门阵列(field programmable gate array,FPGA)上实现了基于改进Hough变换的车道标志线检测。利用Matlab平台进行仿真,并确定车道线检测的具体算法。FPGA实现过程:图像采集、图像预处理[中值滤波和感兴趣区域(region of interest,ROI)的选取]、Sobel边缘检测、改进Hough变换检测直线、输出检测结果。为更充分使用FPGA的内部资源,使用RAM和乘法器等IP核;为提高检测的实时性,提出划分限定区域的方法来减少投票的目标点数,并利用分级流水线加快处理速度。实验结果充分表明,采用的车道线检测算法在标识清楚的路况中具有良好的鲁棒性和实时性。
关 键 词: 图像处理;现场可编程逻辑门阵列;感兴趣区域;Hough变换;Sobel边缘检测;车道线
Title: Lane line detection application based on improved Hough transform and FPGA
Author: GAO Zhenbin, ZHAO Pan
Organization: School of Information Engineering, Hebei University of Technology
Abstract: The lane line detection has been implemented based on improved Hough transform on field programmable gate array (FPGA) platform. The detailed algorithm is confirmed through simulation on Matlab. During the FPGA realization, the parts below are included: the image collection, the pretreatment of median filtering and region of interest (ROI) selection of the intake image, the Sobel edge detection, the detection of the lane lines through the improved Hough transform, the results output. The IP cores such as RAM and multiplier are used to make better use of the resources in FPGA. And the limited area ROI and the method of hierarchical assembly line is put forward in order to improve the real-time detection. Experimental data fully shows that the lane line detection algorithm has good robustness and real-time performance.
Key words: image processing; field programmable gate array; region of interest; Hough transform; Sobel edge detection; lane line
发表期数: 2014年10月第20期
引用格式: 高振斌,赵盼. 基于改进Hough变换和FPGA的车道线检测应用[J]. 中国科技论文在线精品论文,2014,7(20):2075-2081.
 
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