Tracking of Extended Object Using Random Triangle Model

In this article, a random triangle model (RTM) is proposed for tracking an extended object (EO) (e.g., an aircraft or ship) that can be modeled by one or more triangles. In the RTM, a triangular extension is represented by a random vector. Facilitated by properties of the RTM and the uncorrelated conversion, an approach is developed to estimate the kinematics and the extension of a triangular EO jointly. This approach is further embedded into a multiple-model framework for maneuvering target tracking. To track a nontriangular EO, an approach is developed to approximate an EO by a combination of multiple triangular subobjects, each represented by an RTM. The simulation results illustrate the effectiveness of our modeling and estimation.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2024-10-16
DOI
https://doi.org/10.1109/taes.2024.3481357
Citations
6
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
7.79
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tracking of Extended Object Using Random Triangle Model

Mingkai Li, Jian Lan, X. Rong Li
6 citations
IEEE Transactions on Aerospace and Electronic Systems
Robotics and Sensor-Based Localization
7.79
article

Tracking of Extended Object Using Random Triangle Model

Mingkai Li, Jian Lan, X. Rong Li
article en
6 citations

Abstract

In this article, a random triangle model (RTM) is proposed for tracking an extended object (EO) (e.g., an aircraft or ship) that can be modeled by one or more triangles. In the RTM, a triangular extension is represented by a random vector. Facilitated by properties of the RTM and the uncorrelated conversion, an approach is developed to estimate the kinematics and the extension of a triangular EO jointly. This approach is further embedded into a multiple-model framework for maneuvering target tracking. To track a nontriangular EO, an approach is developed to approximate an EO by a combination of multiple triangular subobjects, each represented by an RTM. The simulation results illustrate the effectiveness of our modeling and estimation.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(2)
University of New Orleans (US), Xi'an Jiaotong University (CN)
Reduced inequalities
Openalex Percentile: Top 3%
Robotics and Sensor-Based Localization
7.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.