Performance evaluation of model-based pose determination and tracking in sparse range data

点击翻译按钮获取中文摘要

In this project we will investigate the model-based pose determination and tracking of satellites in sparse range data. This project builds upon previous work where we have successfully demonstrated these capabilities in uniform random sparse range data sequences. In this project, we will extend this work in two ways, first by applying it to non-uniform sparse range data, which is more representative of the data that could be collected by a space-based system. The second extension will be to investigate issues of performance evaluation, which will allow us to assess and compare tracking algorithms under various conditions. We will also develop an on-line performance monitor that will continuously automatically assess the performance of a tracking system, invoking corrective action when necessary.