Description Space related activities have been increasing significantly, which generate huge amount of data from either on board or ground-based sensors. However, this data has not been fully exploited to generate better solutions for space problems in return. This project will investigate the framework and required AI algorithms of fusing/integrating and processing data from diverse technologies such as spectroscopy, hyperspectral imaging, conventional RGB, laser, LIDAR, radar, radio and quantum measurements, plus data from any other sensor to provide accurate, efficient and robust solutions for spacecraft navigation. Key Objectives

Comprehensive literature review on the current multiple and distributed sensor technologies for spacecraft navigation

Review on the current framework or structure of fusion data from different sensors and compare the different frameworks in terms of accuracy, computational cost, robustness and autonomy

Review on the AI algorithms for the fusion

Propose a new data fusion framework for better navigation solutions