A continuous function model for path prediction of entities

S. Nanda; R. Pray

doi:10.1117/12.708266

30 April 2007 A continuous function model for path prediction of entities

S. Nanda, R. Pray

Proceedings Volume 6560, Intelligent Computing: Theory and Applications V; 65600H (2007) https://doi.org/10.1117/12.708266
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

As militaries across the world continue to evolve, the roles of humans in various theatres of operation are being increasingly targeted by military planners for substitution with automation. Forward observation and direction of supporting arms to neutralize threats from dynamic adversaries is one such example. However, contemporary tracking and targeting systems are incapable of serving autonomously for they do not embody the sophisticated algorithms necessary to predict the future positions of adversaries with the accuracy offered by the cognitive and analytical abilities of human operators. The need for these systems to incorporate methods characterizing such intelligence is therefore compelling. In this paper, we present a novel technique to achieve this goal by modeling the path of an entity as a continuous polynomial function of multiple variables expressed as a Taylor series with a finite number of terms. We demonstrate the method for evaluating the coefficient of each term to define this function unambiguously for any given entity, and illustrate its use to determine the entity's position at any point in time in the future.

Citation Download Citation

S. Nanda and R. Pray "A continuous function model for path prediction of entities", Proc. SPIE 6560, Intelligent Computing: Theory and Applications V, 65600H (30 April 2007); https://doi.org/10.1117/12.708266

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