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A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects
The primary goal of this survey is to describe the current DL-based methods for spacecraft pose estimation in a comprehensive manner.
3D-Aware Object Localization using Gaussian Implicit Occupancy Function
We then propose to have a new look at ellipse regression and replace the discontinuous geometric ellipse parameters with the parameters of an implicit Gaussian distribution encoding object occupancy in the image.
Lessons from a Space Lab -- An Image Acquisition Perspective
From the lessons learned during the lab development, this article presents a systematic approach combining market survey and experimental analyses for equipment selection.
O2A: One-shot Observational learning with Action vectors
The distance between the action vectors from the observed third-person demonstration and trial robot executions is used as a reward for reinforcement learning of the demonstrated task.
