Gaussian Mixture Probability Hypothesis Density Filter for Heterogeneous Multi-Sensor Registration
Yajun Zeng,
Jun Wang,
Shaoming Wei
et al.
Abstract: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 probability hypothesis density (GM-PHD)-based algorithm for heterogeneous sensor bias registration, accompanied by an adaptive measurement iterative update algorithm. Firstly, by constructing augmented target state motio… Show more
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