Accession Number : ADA496490


Title :   Evaluation of the Effectiveness of Machine-based Situation Assessment - Preliminary Work


Descriptive Note : Technical note


Corporate Author : DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION EDINBURGH (AUSTRALIA) INTELLIGENCE SURVEILLANCE AND RECONNAISSANCE DIV


Personal Author(s) : Lingard, David M ; Lambert, Dale A


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a496490.pdf


Report Date : Aug 2008


Pagination or Media Count : 36


Abstract : The Information Fusion Panel within The Technical Cooperation Program (TTCP) is developing algorithms to perform machine-based situation assessment to assist human operators in complex situations. This report proposes a technique to measure the effectiveness of these algorithms in a simulation environment where ground truth is well-defined. In addition, this report models the situation assessment algorithms abstractly using random inference networks, and examines how errors (damage) spread through the inference networks. This models deficiencies in the object assessment as input to the situation assessment algorithm.


Descriptors :   *ALGORITHMS , *SITUATIONAL AWARENESS , DEFICIENCIES , DATA FUSION , AUSTRALIA , SURFACE TRUTH , THREAT EVALUATION , OPERATIONAL EFFECTIVENESS , KNOWLEDGE BASED SYSTEMS


Subject Categories : Numerical Mathematics


Distribution Statement : APPROVED FOR PUBLIC RELEASE