Unstructured Road Detection Based on Fuzzy Clustering Arithmetic

摘要：

　　The unstructured road detection plays a key role in an autonomous vehicle navigation system.However,the unstructured road images often contain shadows and are easily affected by ambient light,resulting to an inaccuracy with road detection.A robust road detection technique is required.In this paper,we adopted an improved fuzzy c-means(FCM)clustering algorithm to address these issues.The new technique considered the neighborhood impact factor when calculating distances between the cluster center and a pixel.Our experimental results show that the improved FCM have better outcomes.

关键词： unstructured road detection fuzzy c-means cluster HSV Color Space

作者: Xiao Liu KeKe Shang Jie Liu ChunYu Zhou

作者单位: College of Science Tianjin Polytechnic University Tianjin,China

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 114-118

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）