Object Location Prediction in Real-time using LSTM Neural Network and Polynomial Regression

doi:doi:10.57702/piuywb42

Object Location Prediction in Real-time using LSTM Neural Network and Polynomial Regression

The dataset used in this paper is a collection of GPS and IMU sensor data from real-world vehicles, with a focus on predicting and interpolating object location coordinates in real-time.

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The json representation of the dataset with its distributions based on DCAT.
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Petar Stojković, Predrag Tadić (2024). Dataset: Object Location Prediction in Real-time using LSTM Neural Network and Polynomial Regression. https://doi.org/10.57702/piuywb42

DOI retrieved: December 2, 2024

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Petar Stojković
More Authors	Predrag Tadić