2019
Autonomous Exploration, Reconstruction, and Surveillance of 3D Environments Aided by Deep Learning
ICRA 2019poster
We propose a greedy and supervised learning approach for visibility-based exploration, reconstruction and surveillance. Using a level set representation, we train a convolutional neural network to determine vantage points that maximize visibility. We show that this method drastically reduces the on-…