Title

Cell balancing for vehicle identification perception experiments and correcting for cell imbalance in test results

Abstract

Corrections are given for cell imbalance in the design and analysis of twelve (12)-target identification (ID) perception tests. Such tests are an important tool in the development of the Night Vision and Electronic Sensors Directorate (NVESD) observer performance model used in NVThermIP to compare electro-optical systems. It is shown that the partitions of the 12-target set previously used in perception experiments exhibit statistically significant cell imbalance. Results from perception testing are used to determine the relative difficulty of identifying different images in the set. A program is presented to partition the set into lists that are balanced according to the collected observer data. The relative difficulty of image subsets is shown to be related to the best-fit V 50 values for the subsets. The results of past perception experiments are adjusted to account for cell imbalance using the subset V 50 terms. Under the proper conditions, the adjusted results are shown to better follow the TTP model for observer performance.

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

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