Active Target Tracking Using Bearing-only Measurements With Gaussian Process Learning

Autor: Fu, Yingbo, Yang, Ziwen, Zhu, Shanying, Chen, Cailian, Guan, Xinping

This paper studies the tracking problem of target with the partially unknown motion model by an active agent with bearing-only measurements using Gaussian process learning. To address this problem, a learning-planning-control framework is proposed. F

Externí odkaz: http://arxiv.org/abs/2410.18669

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