This academic article discusses the challenges of navigating Unmanned Aerial Vehicles (UAVs) in scenarios where signals from the Global Navigation Satellite System (GNSS) are unavailable. The authors propose a novel angle robustness navigation paradigm to deal with flight deviation in point-to-point navigation tasks. They also introduce a model to accurately predict direction angles for high-precision navigation and a new dataset called UAV AR368 for evaluating vision-based navigation methods. The study shows that the proposed model significantly improves the success rate of arrival under ideal and disturbed circumstances.
Publication date: 6 Feb 2024
Project Page: Not provided
Paper: https://arxiv.org/pdf/2402.02405
