Analytical models quantify the military benefit of collaborative search

Melvin H. Friedman; Todd W. Du Bosq; Eric A. Flug

doi:10.1117/12.851521

22 April 2010 Analytical models quantify the military benefit of collaborative search

Melvin H. Friedman, Todd W. Du Bosq, Eric A. Flug

Proceedings Volume 7662, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI; 76620B (2010) https://doi.org/10.1117/12.851521
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Analytical Model 1 describes how long it takes the first observer to find a target when multiple observers search a field of regard using imagery provided by a single sensor. This model, developed using probability concepts, suggests considerable benefits accrue from collaborative search: when P is near one and with ten observers the mean detection time (in reduced time) is reduced by almost an order of magnitude when compared to that of a single observer. To get the instant of detection in clock time we add the delay time td to the reduced time. Empirical fits for t_d and are also given in the paper. Model 1 was verified/validated by computer simulation and perception experiments. Here ten observers searched sixty computer generated fields of regard (each one was 60 x 20 degrees) for a single military vehicle. Analytical Model 2 describes how the probability of target acquisition increases with the number of observers. The results of Model 2 suggest that probability of target acquisition increases considerably when multiple observers independently search a field of regard. Model 2 was verified by simulation but not by perception experiment. Models 1 and 2 are pertinent to development of search strategies with multiple observers and are expected to find use in wargaming for evaluating the efficacy of networked imaging sensors.

Citation Download Citation

Melvin H. Friedman, Todd W. Du Bosq, and Eric A. Flug "Analytical models quantify the military benefit of collaborative search", Proc. SPIE 7662, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI, 76620B (22 April 2010); https://doi.org/10.1117/12.851521

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