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Sliding Window Neural Generated Tracking Based on Measurement Model
In the pursuit of further advancement in the field of target tracking, this paper explores the efficacy of a feedforward neural network in predicting drones tracks, aiming to eventually, compare the tracks created by the well-known Kalman filter and the ones created by our proposed neural network.
A review of UAV Visual Detection and Tracking Methods
This paper presents a review of techniques used for the detection and tracking of UAVs or drones.
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