B-spline Model for Extended Object Tracking Based on Sequential Fusion

The B-spline model for extended object tracking (EOT) based on sequential fusion is proposed to improve EOT accuracy and reduce the effect of initial value. It uses B-spline model to construct target extension, and estimates the kinematic state and contour using sequential fusion. The measurement update using sequential fusion takes the previous measurement update as the initial value. Therefore, the B-spline model for EOT based on sequential fusion is characterized by high accuracy and tolerance to initial value error. Finally, a typical extended object tracking scenario is simulated, and the experimental results show that the tracking performance of the new method is outperform than the current method.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/icmsp64464.2024.10866576
Primary Topic
Advanced Measurement and Detection Methods
Type
article
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article

B-spline Model for Extended Object Tracking Based on Sequential Fusion

Haibo Yang, Yu Zhu
Advanced Measurement and Detection Methods
article

B-spline Model for Extended Object Tracking Based on Sequential Fusion

Haibo Yang, Yu Zhu
article en

Abstract

The B-spline model for extended object tracking (EOT) based on sequential fusion is proposed to improve EOT accuracy and reduce the effect of initial value. It uses B-spline model to construct target extension, and estimates the kinematic state and contour using sequential fusion. The measurement update using sequential fusion takes the previous measurement update as the initial value. Therefore, the B-spline model for EOT based on sequential fusion is characterized by high accuracy and tolerance to initial value error. Finally, a typical extended object tracking scenario is simulated, and the experimental results show that the tracking performance of the new method is outperform than the current method.

Northwestern Polytechnical University (CN)
Openalex Percentile: Top 75%
Advanced Measurement and Detection Methods
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