Convolutional Recurrent Network for Road Boundary Extraction
Convolutional Recurrent Network for Road Boundary Extraction
Creating high definition maps that contain precise information of static elements of the scene is of utmost importance for enabling self driving cars to drive safely. In this paper, we tackle the problem of drivable road boundary extraction from LiDAR and camera imagery. Towards this goal, we design a structured …