Social Science to Understand Strategic Threat
Utilizing Social Science Technology to Understand and Counter the 21st Century Strategic Threat Author: Popp, R. During the Cold War era, the strategic threat against the US was clear. The country responded clearly with a policy toward the Soviet threat that centered on deterrence, containment, and mutually assured destruction. To enforce this policy, the US […]
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m-Best S-D Assignment Algorithm for Tracking
m-Best S-D Assignment Algorithm with Application to Multitarget Tracking. Author: Popp, R., Pattipati, K. & Bar-Shalom, Y. Abstract In this paper we describe a novel data association algorithm, termed m-best S-D, that determines in O(mSkn^3) time (m assignments, S >=3 lists of size n, k relaxations) the (approximately) m-best solutions to an S-D assignment problem. […]
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m-Best 2-D Assignment Algorithm Parallelization
Dynamically Adaptable m-Best 2-D Assignment Algorithm and Multilevel Parallelization Author: Popp, R., Pattipati, K. & Bar-Shalom, Y. Abstract In recent years, there has been considerable interest within the tracking community in an approach to data association based on the m-best two-dimensional (2-D) assignment algorithm. Much of the interest has been spurred by its ability to […]
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Parallelizations For Multitarget Tracking
Distributed- and Shared-Memory Parallelizations of Assignment-Based Data Association for Multitarget Tracking. Author: Popp, R., Pattipati, K. & Bar-Shalom, Y. Abstract To date, there has been a lack of efficient and practical distributed- and shared-memory parallelizations of the data association problem for multitarget tracking. Filling this gap is one of the primary focuses of the present […]
Continue ReadingData Association Shared Memory Parallelization
Shared Memory Parallelization of the Data Association Problem in Multi-Target Tracking Author: Popp, R., Pattipati, K., Bar-Shalom, Y. & Ammar, R. Abstract The focus of this paper is to present the results of our investigation and evaluation of various shared-memory parallelizations of the data association problem in multitarget tracking. The multitarget tracking algorithm developed was […]
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Parallel Tracking Algorithm with Super-linear Speedups
Parallelization of a Multiple Model Multi-target Tracking Algorithm with Super-linear Speedups Author: Popp, R., Pattipati, K., Bar-Shalom, Y. & Yeddanapudi, M. Abstract The interacting multiple model (IMM) estimator has been shown to be very effective when applied to air traffic surveillance problems. However, because of the additional filter modules necessary to cover the possible target […]
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