Real-Time Temporally Consistent Monocular 6D UAV Pose Estimation for Onboard Aerial Perception
AeroMotion6D is proposed, a temporal transformer-based framework for monocular UAV 6D pose estimation from RGB video that consists of an adaptive context fusion mechanism that can incorporate past context information into the current estimation process and a persistent pose memory module that can convey pose-related information in two consecutive frames.