Vision and Wireless-based Surveying for Intelligent OSAM Navigation (VISION)

Abstract

Verbatim from Embry-Riddle Scholarly Commons. Not paraphrased, not summarized.

In this project, which is a SpaceWERX Phase I STTR program with Orbital Prime, we are developing algorithms to increase autonomy of OSAM applications. This includes the application of machine learning techniques to improve accuracy of position and orientation estimation for proximity operations in space. Machine learning include deep-learning combined with vision-based navigation designed and tested in both, virtual simulation environment and actual thrust-based spacecraft system.

Authors

• Moncayo, Hever Embry-Riddle Aeronautical University
• Dogan, K. Merve Embry-Riddle Aeronautical University