There are a multitude of technologies and techniques for solving GPS-denied localissation problems. Most technologies and techniques have been used extensively and are well established. One interesting technique that is used in many applications is sensor fusion, where data from multiple sensors are combined to improve accuracy, reliability and better overall performance. This project will investigate the feasibility of using a probabilistic based approach with different sensor combinations and topologies for localising individuals in GPS-denied areas/applications. The goal is to develop a probabilistic fusion model which can help predict the change in performance when different permutations of sensors are added to the system and therefore assist in finding the optimal permutation for a given environment.
Upon completion of the project, the students are expected to…
Lab allocations have not been finalised