Vision and Wireless-based Surveying for Intelligent OSAM Navigation (VISION)
Embry-Riddle Scholarly Commons · Faculty research project · oai:commons.erau.edu:faculty-research-projects-1057 · Published 2023-08-29 · Embry-Riddle Aeronautical University · 2 authors
Abstract and citation only, verbatim from Embry-Riddle Scholarly Commons; full text lives there. All credit to the authors and Embry-Riddle Aeronautical University.
Abstract
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
Citation
Moncayo, Hever, Dogan, K. Merve (2023). Vision and Wireless-based Surveying for Intelligent OSAM Navigation (VISION). Embry-Riddle Aeronautical University. Embry-Riddle Scholarly Commons ID oai:commons.erau.edu:faculty-research-projects-1057. https://commons.erau.edu/faculty-research-projects/60 ↗