loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Yuan Huang ; Sa Yong Chong and Taek Lyul Song

Affiliation: Hanyang University, Korea, Republic of

Keyword(s): Track-to-track Fusion, Centralized Fusion, Multiple Detection, LM-IPDA.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Modeling, Analysis and Control of Discrete-event Systems ; Sensors Fusion ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: The multi-sensor multiple detection target tracking problem is considered in this paper. The probability of target existence is used as the track quality measure and plays an important part in the fusion paradigm. The multiple detection linear multi-target integrated probabilistic data association (MD-LM-IPDA) is utilized and extended to the multi-sensor structure. Both centralized fusion MD-LM-IPDA and distributed track-to-track fusion MD-LM-IPDA are proposed. The centralized fusion method utilizes the information from all local sensors' measurements to get the best tracking performance but suffers from the high communication load. The distributed fusion method can control the communication load by adjusting the threshold for transmitting local tracks to the fusion center. One can make a choice between these two structures based on the tracking performance requirement and the computation resources.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.141.244.201

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Huang, Y.; Chong, S. and Song, T. (2017). Track-to-track Fusion using Multiple Detection Linear Multitarget Integrated Probabilistic Data Association. In Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-263-9; ISSN 2184-2809, SciTePress, pages 431-439. DOI: 10.5220/0006410104310439

@conference{icinco17,
author={Yuan Huang. and Sa Yong Chong. and Taek Lyul Song.},
title={Track-to-track Fusion using Multiple Detection Linear Multitarget Integrated Probabilistic Data Association},
booktitle={Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2017},
pages={431-439},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006410104310439},
isbn={978-989-758-263-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Track-to-track Fusion using Multiple Detection Linear Multitarget Integrated Probabilistic Data Association
SN - 978-989-758-263-9
IS - 2184-2809
AU - Huang, Y.
AU - Chong, S.
AU - Song, T.
PY - 2017
SP - 431
EP - 439
DO - 10.5220/0006410104310439
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic