Revisiting End-to-End Deep Learning for Obstacle Avoidance: Replication and Open Issues
2020/02/22
Seewald, A. (2020). Revisiting End-to-end Deep Learning for Obstacle Avoidance: Replication and Open Issues. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2, ISBN 978-989-758-395-7, ISSN 2184-433X, pages 652-659. DOI: 10.5220/0008979706520659