2019
Autonomous Navigation for Unmanned Underwater Vehicles: Real-Time Experiments Using Computer Vision
RA-L 2019
This letter studies the problem of autonomous navigation for unmanned underwater vehicles, using computer vision for localization. Parallel tracking and mapping is employed to localize the vehicle with respect to a visual map, using a single camera, whereas an extended Kalman filter (EKF) is used to