Accelerated Particle Filter With GPU for Real-Time Ballistic Target Tracking-Reference-Cited by-同舟云学术

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Accelerated Particle Filter With GPU for Real-Time Ballistic Target Tracking

Published:2023 Issue: Volume:11 Page:12139-12149
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kim Daeyeon¹,Han Yunho²,Lee Heoncheol³,Kim Yunyoung⁴,Kwon Hyuck-Hoon⁴^ORCID,Kim Chan⁴,Choi Wonseok⁴

Affiliation:

1. School of Electronic Engineering, Kumoh National Institute of Technology, Gumi-si, South Korea

2. Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi-si, South Korea

3. Department of IT Convergence Engineering, School of Electronic Engineering, Kumoh National Institute of Technology, Gumi-si, South Korea

4. PGM Research and Development Laboratory, LIG Nex1, Seongnam-si, South Korea

Funder

Theater Defense Research Center

Defense Acquisition Program Administration

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10024274.pdf?arnumber=10024274

Reference24 articles.

1. Multiple Model Ballistic Missile Tracking With State-Dependent Transitions and Gaussian Particle Filtering

2. Target Tracking by Particle Filtering in Binary Sensor Networks

3. Particle filtering with rendered models: A two pass approach to multi-object 3D tracking with the GPU

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1. FPGA-based Inference Parallelization for Onboard RL-based Routing in Dynamic LEO Satellite Networks;International Journal of Aeronautical and Space Sciences;2024-04-12

2. FPGA-based Inference Parallelization of Convolutional Layers for Real-Time Routing in Dynamic LEO Satellite Networks;The Journal of Korean Institute of Information Technology;2023-08-31

3. Heterogeneous Processor-based Inference Parallelization for On-Board Reinforcement Learning-based Routing in Dynamic LEO Satellite Network;The Journal of Korean Institute of Information Technology;2023-07-31

4. Parallelized Particle Filter With Efficient Pipelining on FPGA for Real-Time Ballistic Target Tracking;IEEE Access;2023

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