VanIseghemThomas/AI-Parking-Unity

A RL project focussed on autonomous parking, using Unity's MLAgents toolkit.

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Emerging

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.

autonomous-driving vehicle-simulation robotics AI-testing automotive-engineering
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 18 / 25

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53

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12

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Last pushed

Jul 31, 2022

Commits (30d)

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