Prototype Lunar OpNav System (Complete) – Using high-fidelity synthetic lunar images, we have developed an autonomous OpNav algorithm that detects distinct patterns of craters in lunar images and, using camera pose and projection geometry, translates them into accurate position estimates. This stage has allowed us to validate our core algorithm in a controlled environment and establish a strong foundation for further development.

Strategic Partnerships to Raise TRL – Our algorithm has proven effective with synthetic lunar imagery. The next step is to test their performance against real-world data. We are seeking partnerships with organisations operating spacecraft in lunar orbit to validate and refine our approach.

Filtering Position Observations – We plan to enhance our technology with advanced filtering techniques to refine position estimates using sequential observations. This approach will enable our technology to smooth measurement noise, reject outliers, and maintain high-accuracy navigation performance.

In-Orbit Commissioning – Our long-term goal is to deploy and commission our technology to operate autonomously aboard spacecraft in lunar orbit—delivering precise, reliable positioning in real mission environments.