Unstructured road detection based on fuzzy clustering arithmetic
Xiao Liu, Keke Shang, Jie Liu, Chun Yu Zhou · 2014
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.