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Official implementation of paper "MCST: An adaptive tracking algorithm for high-speed and highly maneuverable targets based on bidirectional LSTM network"

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MCST: An adaptive tracking algorithm for high-speed and highly maneuverable targets based on bidirectional LSTM network

Introduction

This is the Pytorch implementation of "MCST: An adaptive tracking algorithm for high-speed and highly maneuverable targets based on bidirectional LSTM network"

The proposed model consists of the Predictor and the Updater, and is used to track high speed and high maneuvering targets in three-dimensional space.

Dataset

Download from https://github.com/Shen-kl/OneManeuveringTarget3D

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Official implementation of paper "MCST: An adaptive tracking algorithm for high-speed and highly maneuverable targets based on bidirectional LSTM network"

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