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Visualising Uncertainty for Decision Support

This report presents an overview of the theoretical concepts and definitions of uncertainty, and the uncertainty visualisation techniques that have been investigated to date.

Summer Vacation Placement LD04: Investigating the Utility of Augmented Reality for Land Logistics

This report documents the outcomes of an investigation into the utility of Augmented Reality (AR) for Land Logistics and Combat Service support, under Defence Science and Technology Group’s 2016/17 Summer Vacation Placement program.

DST cyber team takes out three South Australian iAwards

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DST's Trustworthy Systems team.
DST’s Trustworthy Systems team has taken out three iAwards in South Australia.

Evaluation of Available Software for Reconstruction of a Structure from its Imagery

In this report the Computer Vision System toolbox of MATLAB® and the Visual Structure from Motion software are evaluated on three datasets of airborne imagery.

On the Use of Vectors, Reference Frames, and Coordinate Systems in Aerospace Analysis

This report describes the core foundational concepts of aerospace modelling, an understanding of which is necessary for the analysis of complex environments that hold many entities, each of which might employ a separate reference frame and coordinate system.

Implementation of the Scale Invariant Feature Transform Algorithm in MATLAB®

This report addresses the description and MATLAB implementation of the Scale-Invariant Feature Transform (SIFT) algorithm for the detection of points of interest in a grey-scale mage.

Sparse Reconstruction of a Scene and Camera Poses from the Scene Images with MATLAB®

This report addresses the description and implementation of numerical algorithms for the reconstruction of world points representing a scene, and pinhole camera poses from the scene images.

Finite Element Modelling of Heat Exchange with Thermal Radiation

This report addresses the mathematical and numerical modelling of heat exchange in a solid object with the effect of thermal radiation included.

Variable Discretisation for Anomaly Detection using Bayesian Networks

Anomaly detection is the process by which low probability events are automatically found against a background of normal activity. This report discusses an algorithm that generates a set of states that ensure that low probability data values can be represented.

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