Objectives:
The main goal of the course is to give an overview about real time algorithms and architectures used in multi-sensor data fusion and navigation. The focus of the course is multi-parallel processing and target tracking.
The course introduces estimation theory, the necessary definitions in static, dynamics linear and non-linear cases for both discrete and continuous systems. It reveals and explains such generally used algorithms like the Kalman- and the Bootstrap-filter, as well as the limitations and applications of these algorithms in practical problems.
The course gives comprehensive knowledge about system level computations in both top-down and bottom up design of adaptive algorithmic solutions. Examines the topographic and non-topographic partitioning of data-flows regarding the modern multi-parallel architectures.
More information about this course is available HERE.