Autonomous Vision-based UAV Landing with Collision Avoidance using Deep Learning
arXiv:2109.08628v110 citations
AI Analysis
This addresses safety issues for UAV operators in multi-drone scenarios, but appears incremental as it applies existing deep learning methods to a specific landing task.
The paper tackled the problem of collision risk during simultaneous UAV landings without communication by developing a vision-based autonomous landing system with deep learning for collision avoidance.
There is a risk of collision when multiple UAVs land simultaneously without communication on the same platform. This work accomplishes vision-based autonomous landing and uses a deep-learning-based method to realize collision avoidance during the landing process.