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Training a deep learning system for localization without an explicitly defined map.

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bnurbekov/LSTM_based_localization

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Work in progress (not cleaned up)

Model

Multi-layered LSTM was used for the change of pose regression.

Regularization

Dropout.

Preliminary results

Training loss visualization

The results of the training are shown on the graph below:

Image of training loss

Validation set loss

The validation set loss was equal to 0.001 (1 mm)

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Training a deep learning system for localization without an explicitly defined map.

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