Gazebo Autonomous Driving – Imitation Learning Model
This is a pretrained imitation-learning model for autonomous driving in simulation. It takes front camera images as input and predicts vehicle speed and steering, and it’s meant to be used directly in a ROS 2 + Gazebo setup. The model was trained on driving data collected by manually driving a simulated vehicle in Gazebo.
Follow the instructions at the GitHub Repository to use it: https://github.com/lucasmazzetto/gazebo_autonomous_driving
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