Convolutional Neural Network for Ellipse Extended Target Tracking

Binchao Bian; Hui Chen

doi:10.62762/CJIF.2024.160538

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Volume 1, Issue 2, Chinese Journal of Information Fusion

Volume 1, Issue 2, 2024

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Ziling Wang

Chinese Society of Aeronautics and Astronautics, China

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Chinese Journal of Information Fusion, 2024, Volume 1, Issue 2: 93-108

Free to Read | Research Article | 23 September 2024

Convolutional Neural Network for Ellipse Extended Target Tracking

Binchao Bian 1

Hui Chen 1 *

1 School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China

* Corresponding Author: Hui Chen, [email protected]

DOI: https://doi.org/10.62762/CJIF.2024.160538

Received: 29 July 2024, Accepted: 18 September 2024, Published: 23 September 2024

Cited by: 1 (Source: Web of Science) , 1 (Source: Google Scholar)

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Abstract

In the field of extended target tracking, constrained by the sparse measurement set from radar, the target contour is commonly estimated as an elliptical shape. This paper uses convolutional neural networks to estimate the size and orientation information of extended targets. First, by establishing a systematic model for elliptical extended targets and modeling its measurement information, data normalization, and length equalization operations were conducted to provide reliable measurement data for subsequent neural network processing. Subsequently, through the construction of a convolutional neural network model, accurate estimation of the contour parameters of elliptical extended targets was achieved, and integration with Kalman filtering enabled precise tracking of the target positions. Finally, the effectiveness of the proposed method was verified through the construction of simulation scenarios, and the performance of the method was comprehensively evaluated using the Gaussian Wasserstein distance.

Graphical Abstract

Keywords

extended target tracking

elliptical

convolutional neural network

gaussian wasserstein distance

Funding

This work is supprted by the National Natural Science Foundation of China (62163023, 61873116, 62173266, 62366031)

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APA Style

Bian,B. & Chen,H. (2024). Convolutional Neural Network for Ellipse Extended Target Tracking. Chinese Journal of Information Fusion, 1(2), 93–108. https://doi.org/10.62762/CJIF.2024.160538

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