A GPU Accelerated Dual-Ascent Algorithm for the Multidimensional Assignment Problem in a Multitarget Tracking Application

Author:

Vadrevu Samhita1ORCID,Nagi Rakesh1ORCID

Affiliation:

1. Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana–Champaign, Urbana, IL, USA

Funder

IBM-Illinois Center for Cognitive Computing Systems Research (C3SR)—a research collaboration as part of the International Business Machines (IBM) Artificial Intelligence (AI) Horizons Network

NSF-Major Research Instrumentation (MRI) Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. HyLAC: Hybrid linear assignment solver in CUDA;Journal of Parallel and Distributed Computing;2024-05

2. Track-to-Track Association Based on Modified Covariance Intersection for Multi-target Tracking;2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS);2023-11-27

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