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A system for autonomous driving using convolutional neural networks, proportional/derivative control, LSTMs, and reinforcement learning, built using Keras and PyTorch

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LaneDetection

A system for autonomous driving in Keras that makes use of sliding windows and proportional steering control. A visualizer is included to help with debugging and testing models. It also contains various components for path planning and stop sign detection.

Usage Notes

In order to run the executable scripts, which import other modules within the project, you may have to add the parent directory of the project to your PYTHONPATH. You must execute the scripts with python -m LaneDetection.<subpackage>.<script>. Running them directly with ./<script> will result in an import error.

Compatibility

This project is intended to be used with Python 2.7. Many scripts will not work with Python 3.x.

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A system for autonomous driving using convolutional neural networks, proportional/derivative control, LSTMs, and reinforcement learning, built using Keras and PyTorch

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