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Machine Learning Autonomous Navigation Using Predicted and Ground-Truthed Maps

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Synthetic-Navigation

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Machine Learning Autonomous Navigation Using Predicted and Ground-Truthed Maps

Machine Used: for Training:

CPU: Ryzen 9 6900hs

GPU: Nvidia RTX 3050 mobile

RAM: 32GB

Disclaimer:

All the images provided in this README are completely randomly generated, including the noise.

Explanation:

75fig.png The histogram is here to show the effectiveness of the model. The model used in this example has been training for only 500 epochs, around an hour of GPU time. It has been trained on a mer 128 random images, and has been able to De-Noise any randomly generated image.

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Machine Learning Autonomous Navigation Using Predicted and Ground-Truthed Maps

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