JAIST Repository >
School of Information Science >
Articles >
Journal Articles >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/19341

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: http://hdl.handle.net/10119/19341
Material Type: publisher
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

Files in This Item:

File Description SizeFormat
T-MATSUMOTO-I-0917.pdf639KbAdobe PDFView/Open

All items in DSpace are protected by copyright, with all rights reserved.

 


Contact : Library Information Section, Japan Advanced Institute of Science and Technology