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https://hdl.handle.net/10119/19341
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| Title: | Factor Graph-based Technique for Trajectory Tracking of Target with High Mobility |
| Authors: | Jiang, Lei
Keerativoranan, Nopphon
Matsumoto, Tad
Takada, Jun-ichi |
| Keywords: | Factor graph (FG)
extended Kalman smoothing (EKS)
trajectory tracking
high mobility |
| Issue Date: | 2024-09-10 |
| Publisher: | Institute of Electronics, Information and Communication Engineers (IEICE) |
| Magazine name: | IEICE Communications Express |
| Volume: | 12 |
| Number: | 1 |
| Start page: | 1 |
| End page: | 4 |
| DOI: | 10.23919/comex.2024XBL0132 |
| Abstract: | This paper presents a trajectory tracking algorithm for high-mobility targets using an extended Kalman smoothing (EKS)-based factor graph (FG). Traditional tracking methods often face challenges in maintaining accuracy and computational efficiency when dealing with fast-moving objects. Leveraging the probabilistic framework of factor graphs and robust estimation of EKS, the algorithm enhances tracking precision for fast-moving objects. Extensive simulations across various motion models demonstrate improved accuracy and robustness. The results indicate that this method effectively addresses the limitations of conventional tracking algorithms, providing a promising solution for applications in aviation, autonomous vehicles, and other domains requiring high-mobility tracking. |
| Rights: | Copyright (C) 2024 Institute of Electronics, Information and Communication Engineers (IEICE). This work is licensed under a Creative Commons Attribution Non Commercial, No Derivatives 4.0 International License (CC BY-NC-ND). [https://creativecommons.org/licenses/by-nc-nd/4.0/] Lei Jiang, Nopphon Keerativoranan, Tad Matsumoto, and Jun-ichi Takada, IEICE Communications Express, Vol.12, No.1, 1–4, https://doi.org/10.23919/comex.2024XBL0132 |
| URI: | https://hdl.handle.net/10119/19341 |
| Material Type: | publisher |
| Appears in Collections: | b10-1. 雑誌掲載論文 (Journal Articles)
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| T-MATSUMOTO-I-0917.pdf | | 639Kb | Adobe PDF | View/Open |
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