Uncertainty quantification for cooperative target tracking

Michael T. Valley

doi:10.1117/12.561716

18 October 2004 Uncertainty quantification for cooperative target tracking

Michael T. Valley

Proceedings Volume 5552, Target-in-the-Loop: Atmospheric Tracking, Imaging, and Compensation; (2004) https://doi.org/10.1117/12.561716
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

Abstract

Historically tracking systems have provided limited quantitative data such as approximate range, speed, and trajectory. Today's tracking systems are now being tasked with accurately quantifying a broader range of dynamic state variables (e.g., absolute and relative position, orientation, linear and angular velocity/acceleration, spin rate, trajectory, angle of attack, angle of impact) for high-speed test articles. This information is needed to demonstrate that the required test conditions are achieved, to develop, validate, and apply predictive models, and to document a system's response to a test environment. Few existing and emerging optical tracking methods accurately provide the dynamic state variables. Even fewer quantify the measurement uncertainty. Past measurement error estimates have been either qualitative or lacked the rigor needed to accurately validate and apply predictive models. This presentation will discuss tracking options and approaches for characterizing tracking measurement uncertainty.

Citation Download Citation

Michael T. Valley "Uncertainty quantification for cooperative target tracking", Proc. SPIE 5552, Target-in-the-Loop: Atmospheric Tracking, Imaging, and Compensation, (18 October 2004); https://doi.org/10.1117/12.561716

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KEYWORDS

Cameras

Detection and tracking algorithms

Filtering (signal processing)

Error analysis

Atmospheric modeling

Motion models

Data modeling

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