ACS424   Multi-Sensor Data Fusion   (10 credits)

Description

We now live in a data rich society where sensors can be deployed with relative ease and data is being generated from multiple sources at a huge rate. Whilst this has led to huge advances in our ability to produce ever better solutions to fault detection, diagnosis, control, autonomy and decision making, dealing with multiple sources of information presents its own challenges. Data fusion is now a key element of many systems in order to reduce uncertainty, improve robustness and reliability and overall enhance the amount of useful information. This module provides students with an in depth knowledge and understanding of the importance of data fusion in a systems context to a wide variety of applications. The mathematics of data fusion are developed and students will develop their confidence in solving complex problems requiring the application of data fusion techniques. How data fusion fits into wider systems architectures is explained including centralised, distributed and decentralised sensor architectures. Throughout, real world examples are used to highlight the importance of data fusion and build students problem solving abilities.

Reading List