Efficient railway tracks detection and turnouts recognition method using HOG features
Efficient railway tracks detection and turnouts recognition method using HOG features
复制标题
利用HOG特征的高效铁路轨道检测与道岔识别方法
DOI：
10.1007/s00521-012-0846-0
复制
发表时间：
2013-07-01
影响因子：
6
通讯作者：
Shi, Yong
中科院分区：
文献类型：
--
作者：
Qi, Zhiquan;Tian, Yingjie;Shi, Yong
Railway tracks detection and turnouts recognition are the basic tasks in driver assistance systems, which can determine the interesting regions for detecting obstacles and signals. In this paper, a novel railway tracks detection and turnouts recognition method using HOG (Histogram of Oriented Gradients) features was presented. At first, the approach computes HOG features and establishes integral images, and then extracts railway tracks by region-growing algorithm. Then based on recognizing the open direction of the turnout, we find the path where the train will travel through. Experiments demonstrated that our method was able to correctly extract tracks and recognize turnouts even in very bad illumination conditions and run fast enough for practical use. In addition, our approach only needs a computer and a cheap camera installed in the railroad vehicle, not specialized hardwares and equipment.
