  Automated driving technology has gained a lot of momentum in the last few
years. For the exploration field, navigation is the important key for
autonomous operation. In difficult scenarios such as snowy environment, the
road is covered with snow and road detection is impossible in this situation
using only basic techniques. This paper introduces detection of snowy road in
forest environment using RGB camera. The method combines noise filtering
technique with morphological operation to classify the image component. By
using the assumption that all road is covered by snow and the snow part is
defined as road area. From the perspective image of road, the vanishing point
of road is one of factor to scope the region of road. This vanishing point is
found with fitting triangle technique. The performance of algorithm is
evaluated by two error value: False Negative Rate and False Positive Rate. The
error shows that the method has high efficiency for detect road with straight
road but low performance for curved road. This road region will be applied with
depth information from camera to detect for obstacle in the future work.
