Rishikesh-Jadhav / Adaptive-Neural-Network-Based-Control-of-Autonomous-car-in-AirSimLinks

This repository highlights the integration of neural network-based control with PID and MPC approaches in the AirSim simulator to enhance steering inputs for autonomous vehicles. Employing imitation learning and a hybrid neural network architecture, the project aims to create a robust and unbiased model for improved autonomous vehicle control.
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