Tinker-Twins/Robust_Behavioral_Cloning
Robust Behavioral Cloning for Autonomous Vehicles using End-to-End Deep Imitation Learning
This project helps self-driving car engineers and researchers train autonomous vehicles to mimic human driving behavior in various scenarios. It takes recorded video of a human driving and converts it into a driving model that can autonomously control a simulated vehicle, providing a robust solution for deploying self-driving capabilities.
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Use this if you need to train and test autonomous vehicle control systems based on recorded human driving data, especially in a simulated environment.
Not ideal if you are looking for a system to control a physical autonomous vehicle or need a real-time, production-ready deployment solution without further development.
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MIT
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Last pushed
Apr 04, 2023
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