A Trail Detection Using Convolutional Neural Network

초록

Small-footprint airborne LiDAR scanning systems are effective in modelling forest structures and can also improve trail detection. We propose a trail detection method through a machine learning method from the LiDAR points. To do that, we analyze features for detecting a trail, digitize each feature and combine the results to distinguish between trail and non-trail areas. Our proposed method shows the feasibility of trail detection by using airborne LiDAR points gathered in dense mixed forest.

키워드