An Algorithm for Airborne Conflict Detection Based on Support Vector Machine

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Classifying other aircraft’ intentions are a very complex task but it can be very essential in assisting system in navigating safely in dynamic and possibly hostile environments. This paper introduces an intent classification and conflict detection approach based on support vector machines. It then applies it to a conflict detection problem to assist an aircraft in detecting the intention of an approaching suspicious aircraft. The SVM-based conflict detection approach achieved very promising results.

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Periodical:

Edited by:

Mohamed Othman

Pages:

1140-1145

Citation:

Y. L. Jiao et al., "An Algorithm for Airborne Conflict Detection Based on Support Vector Machine", Applied Mechanics and Materials, Vols. 229-231, pp. 1140-1145, 2012

Online since:

November 2012

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$38.00

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