JZ76/Training-Overtaking-Algorithm
This repository has code of how to train a RNN that can perform overtaking in F1TENTH simulator as well as a dataset I have created
This project helps roboticists and autonomous driving researchers develop F1TENTH race car algorithms. It provides code and pre-recorded datasets to train a machine learning model that enables a simulated race car to overtake an opponent. You input simulated sensor data (LiDAR scans) and car state, and the model outputs desired speed and steering angles for the car to execute an overtaking maneuver.
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Use this if you are working with F1TENTH simulators and want to implement or study machine learning-based overtaking strategies.
Not ideal if you intend to directly apply this to a real-world F1TENTH car without extensive adaptation, data collection, and model retraining.
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Language
Jupyter Notebook
License
Apache-2.0
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Last pushed
Nov 07, 2023
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