Paper
9 May 2011 Collaborative search with independent sensors and multiple observers
Author Affiliations +
Abstract
In this paper we address these problems. 1) Two stationary observers with two sensors independently search for a stationary target. Each sensor is characterized by individual search parameters (p∞, τ) which are different either because the sensors are at different ranges or are different because the sensors are at the same range but have different properties. The target is said to be detected when the first observer detects the target. Using this definition for time to detect, we derive an analytical expression for the mean detection time. 2) If multiple observers independently search an image obtained from a single sensor how does the mean time until the first observer detects the target vary with the number of observers. 3) If multiple observers independently search an image obtained from a single sensor how does the probability of detection vary with the number of observers. Here the target is said to be detected if any of the observers detect the target. 4) For the problem of two stationary observers searching independently for a stationary target we found the probability density function for the time to detect.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Melvin H. Friedman and Joseph Reynolds "Collaborative search with independent sensors and multiple observers", Proc. SPIE 8014, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII, 80140F (9 May 2011); https://doi.org/10.1117/12.885163
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KEYWORDS
Target detection

Sensors

Target acquisition

Image sensors

Probability theory

Mathematical modeling

Systems modeling

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