1 dépôt
Awesome GitHub RepositoriesVirtual Course Testing
Verification of autonomous algorithms using repeatable, simulated track layouts and obstacle scenarios.
Distinct from Road Network Design: Focuses on the testing and validation process on a course, rather than the design of the road network itself.
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Awesome Virtual Course Testing GitHub Repositories
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- udacity/self-driving-car-sim
udacity/self-driving-car-sim
3,985Voir sur GitHubThis project is an autonomous vehicle simulator designed to validate self-driving logic and train deep learning algorithms within a virtual environment. It functions as a training platform for developing neural networks that control vehicle movement and steering based on visual sensor data. The simulator uses the Unity game engine to provide a physics-based world where autonomous driving algorithms can be tested on virtual road courses without the use of physical hardware. The system integrates a C# scripting backend with a physics engine for collision detection and vehicle dynamics. It util
Evaluates how autonomous algorithms handle specific track layouts and obstacles in a repeatable digital setting.
C#
