Autonomous Driving Simulation Laboratory

The Autonomous Driving Simulation Laboratory provides a realistic simulation environment for the development, evaluation, and validation of intelligent and autonomous vehicle algorithms before real-world deployment.

The laboratory supports research and student projects in:

• Artificial Intelligence for Autonomous Vehicles
• Computer Vision and Perception
• LiDAR, Camera, and Sensor Fusion
• Localization and Mapping
• Path and Motion Planning
• Decision-Making Algorithms
• Vehicle Control Algorithms
• Obstacle Detection and Avoidance
• Traffic Scenario Analysis
• Autonomous Navigation
• ROS/ROS 2 Integration
• Simulation-to-Real Validation

CARLA is used as one of the main simulation platforms to create realistic urban driving scenarios and evaluate autonomous driving algorithms under different traffic, environmental, and operational conditions.