首页/论文/2003.08362

arXiv 2003.083622020-03-13eess.SPcs.CVeess.IV

Neural Network Tracking of Moving Objects with Unknown Equations of Motion

Faculty of Engineering, Tel Aviv University（特拉维夫大学工程学院）

Boaz Fish, Ben Zion Bobrovsky

英文摘要：

In this paper we present a Neural Network design that can be used to track the location of a moving object within a given range based on the object's noisy coordinates measurement. A function commonly performed by the KLMn filter, our goal is to show that our method outperforms the Kalman filter in certain scenarios.

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