A GPU Accelerated Dual-Ascent Algorithm for the Multidimensional Assignment Problem in a Multitarget Tracking Application
Author:
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
Link
http://xplorestaging.ieee.org/ielx7/8856/4358066/09808104.pdf?arnumber=9808104
Cited by 3 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. Applications of Lagrangian relaxation-based algorithms to industrial scheduling problems, especially in production workshop scenarios: A review;Journal of Process Control;2024-07
2. HyLAC: Hybrid linear assignment solver in CUDA;Journal of Parallel and Distributed Computing;2024-05
3. 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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