Diploma Thesis Self-driving (Autonomous) Car Simulation in Ros System

Autonomous car development process considered as a hard task that required to test and evaluate the proposed system, for this reason, the simulation considers as a powerful tool, as it provides testing the system components interaction, evaluates the suggested autonomous solutions with no risks. This thesis presents a simulated self-driving car robot under ROS and Gazebo simulation environment. The complete task involves creating the robot model, integrating the simulated perception system and enable autonomous navigation inside a generated 2D map of the virtual world. The results emphasize that this method of compiling programming and simulating provide a reliable piece of work which its outcomes have a direct impact on self-driving cars development.