Autonomous Navigation in Dynamic Environments Using Monocular Vision
Abstract
An autonomous navigation strategy for multirotor UAVs in dynamic environments using monocular vision. It combines YOLOv3 obstacle detection, iterative PnP pose estimation, receding-horizon trajectory planning, and model-predictive control.
Type
Publication
11th International Micro Air Vehicle Competition and Conference (IMAV), 132–137
Javier Rodríguez Vázquez
Principal Researcher
Principal Researcher in Artificial Intelligence working on generalizable autonomy, embodied AI, adaptive agents, planning, memory, and robot learning.