2022
GNGraph: Self-Organizing Maps for Autonomous Aerial Vehicle Planning
RA-L 2022
The present letter tackles the problem of planning a collision-free path in a known environment from a general point of view. We address the problem by using an unsupervised learning algorithm to generate a sparse graph representing the topological structure of the environment and use it for plannin