Deep Learning Technique

Chapter 1: INTRODUCTION and OBJECTIVES 1. Background This report is based on the work undertaken for MBDA, UK on behalf of City, University of London. MBDA is a European manufacturer of missiles formed as result of consolidating missile companies in the continent. It produces air-to-air, surface-to-air, air-to-surface, anti-ship and anti-tank missiles besides a few other warhead systems. As an engineering-cum-research company, MBDA wanted to evaluate the use of deep learning as a means of providing route planning. The research question for the project was: “Can deep learning be used to infer terrain and find an optimal path for routing?” Therefore the goal was to develop an approach and prototype the design to find optimal path on terrain …show more content…

PAGE 7 As anticipated, the investigative research nature of the project led to considerable consumption of the time for the first two objectives that the third objective had to be implemented with synthetic data to save on training time. A technique to introduce computational efficiency in route learning by reducing the cost space was also skipped as it was not integral to the spirit of the objectives. This decision did not compromise the project objectives as MBDA were more keen to explore all the three objectives rather than achieving them in depth. 4. Project Approach The project was finalized and kicked off my mid July 2017. As it took a while to obtain the statement of work that described the exact deliverables, literature review started off based on a reasonable overview of the problem. This helped in scoping the project and submitting the project proposal to MBDA. This was followed by project phases that corresponded to each of the objectives enumerated earlier. The first objective was to finalise a dataset with MBDA. Having received a sign-off on this first deliverable, the next objective of scene classification was picked up for design and implementation. This was followed by implementation for the third objective of path finding. By the end of fifth month, the project was concluded following an assessment of the work output and drafting of the final project report. A broad