Path tracking is a fundamental component of autonomous vehicle control, respon- sible for ensuring that a vehicle follows a predefined path with high precision. With the rapid advancement of enabling technologies such as sensor systems, real- time data processing, and vehicle-to-everything (V2X) communication, modern autonomous systems can now perceive complex environments and adapt their be- havior accordingly. These innovations have significantly improved motion planning, environmental awareness, and overall driving performance. However, accurate and robust path tracking remains a critical challenge, particularly in dynamic or uncertain scenarios. This work focuses on the design and evaluation of path tracking strategies based on different linear controllers.