Gaussian Mixture Probability Hypothesis Density Filter for Heterogeneous Multi-Sensor Registration

Gaussian Mixture Probability Hypothesis Density Filter for Heterogeneous Multi-Sensor Registration

Spatial registration is a prerequisite for data fusion. Existing methods primarily focus on similar sensor scenarios and rely on accurate data association assumptions. To address the heterogeneous sensor registration in complex data association scenarios, this paper proposes a Gaussian mixture proba...

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Bibliographic Details
Main Authors: Yajun Zeng, Jun Wang, Shaoming Wei, Chi Zhang, Xuan Zhou, Yingbin Lin
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Mathematics
Subjects:
Gaussian mixture probability hypothesis density
heterogeneous sensor bias registration
sequential update techniques
complete measurements
incomplete measurements
Online Access:https://www.mdpi.com/2227-7390/12/6/886

Internet

https://www.mdpi.com/2227-7390/12/6/886

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