Terrain Database Correlation and Automated Testing Technologies

The modeling and simulation industry has long been plagued by errors in synthetic natural environment representations and services. Terrain correlation issues span a wide range of layers, including database generation, data content, run-time algorithms, and system functional effect. These issues are highly damaging in terms of cost and training impacts. Although multiple attempts have been made to identify and fix correlation issues, each of these attempts has fallen short in terms of functionality or breadth of application. A comprehensive attack on this problem, including a focus on building common architectures and algorithms, will mitigate correlation problems. The common solution must look beyond the virtual domain, such as consideration of live (e.g. geo-pairing and LVC) and command and control (CJMTK) considerations. Such a common solution is more easily addressed at this time, given the growing commonality between programs (e.g. OneSAF, LVC-IA), and the growth of centralized component-building programs like SE Core and LT2. Dignitas Technologies’ Phase I efforts will address two key focus areas: near-term implementation of selected test prototypes and a longer-term effort to define a set of principles and standards that can grow into a Correlation Analysis for Terrain Representations (CATR) concept.