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Proceedings Paper

Comparison of perception results with a proposed model for detection of a stationary target from a moving platform
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Paper Abstract

A model has been developed that predicts the probability of detection as a function of time for a sensor on a moving platform looking for a stationary object. The proposed model takes as input P (calculated from NVThermIP), expresses it as a function of time using the known sensor-target range and outputs detection probability as a function of time. The proposed search model has one calibration factor that is determined from the mean time to detect the target. Simulated imagery was generated that models a vehicle moving with constant speed along a straight road with varied vegetation on both sides and occasional debris on the road and on the shoulder. Alongside, and occasionally on the road, triangular and square shapes are visible with a contrast similar to that of the background but with a different texture. These serve as targets to be detected. In perception tests, the ability of observers to detect the simulated targets was measured and excellent agreement was observed between modeled and measured results.

Paper Details

Date Published: 22 April 2009
PDF: 13 pages
Proc. SPIE 7300, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX, 73000E (22 April 2009); doi: 10.1117/12.819363
Show Author Affiliations
Melvin Friedman, U.S. Army RDECOM CERDEC NVESD (United States)
Todd Du Bosq, U.S. Army RDECOM CERDEC NVESD (United States)
Joseph Reynolds, U.S. Army RDECOM CERDEC NVESD (United States)
David Wilson, U.S. Army RDECOM CERDEC NVESD (United States)
Robin Kang, Alion Science and Technology Corp. (United States)


Published in SPIE Proceedings Vol. 7300:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX
Gerald C. Holst, Editor(s)

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