VanIseghemThomas/AI-Parking-Unity
A RL project focussed on autonomous parking, using Unity's MLAgents toolkit.
This project helps automotive engineers and researchers develop and test autonomous parking systems in a simulated environment. It takes simulated vehicle sensor data and parking scenarios as input, and outputs trained neural network models capable of navigating and parking a virtual car. This is ideal for those working on self-driving car technology, specifically focusing on the complex challenge of automated parking.
No commits in the last 6 months.
Use this if you need to train and evaluate AI models for self-parking vehicles without the cost and risk of real-world testing.
Not ideal if you are looking for a ready-to-deploy, real-world autonomous parking solution or do not have experience with Unity and machine learning development.
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Last pushed
Jul 31, 2022
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