Autonomous Trajectory Tracking for a Hyundai Vehicle

predefined trajectory automatically. The system combines path planning and control algorithms to ensure that the car accurately tracks the desired path while maintaining stability, safety, and efficiency.

The workflow includes:

Trajectory Generation: Defining a smooth trajectory (curves, turns, and straight lines) that the vehicle must follow.

Sensor Integration: Using GPS, IMU, and onboard sensors to determine the vehicle’s real-time position and orientation.

Control System Design: Implementing algorithms such as PID control, Model Predictive Control (MPC), or Stanley Controller to adjust steering, throttle, and braking for precise trajectory tracking.

Simulation and Testing: Validating the model using simulation environments (e.g., MATLAB/Simulink, ROS, or CARLA simulator) before deployment on the real Hyundai vehicle.

The system is a step toward autonomous driving technologies, with potential applications in self-driving cars, intelligent transportation systems, and advanced driver-assistance systems (ADAS).