This training is for professional development purposes, and the certificate obtained does not replace the MYK (Turkish Qualification Framework) authorization certificate in mandatory trainings requiring MYK certification.

Purpose of the Training

The Autonomous and Advanced Driver Assistance Systems Training Program provides comprehensive knowledge about autonomous technologies and advanced driver assistance systems that enhance driving safety. Participants will gain in-depth knowledge about the development and implementation of these innovative systems.

Training Content

• Autonomous Vehicle Technologies and Fundamentals
• Fundamentals of autonomous vehicles: Levels of autonomous driving (from Level 0 to Level 5)
• Key sensor technologies: LIDAR, radar, camera, ultrasonic sensors
• Data collection and analysis methods
• Environmental sensing and decision-making processes in autonomous vehicles
• Advanced Driver Assistance Systems (ADAS)
• Introduction to ADAS technologies: Lane keeping, emergency braking, blind spot detection, parking assistance
• Semi-autonomous vehicle features and classifications
• Operation of driver support and safety systems
• Safety-critical systems and standards in autonomous vehicles
• Artificial Intelligence and Machine Learning Applications
• Artificial intelligence and machine learning methods used in autonomous vehicles
• Role of deep learning and image processing techniques in vehicle detection and decision-making processes
• AI-based sensor fusion and decision support systems
• Autonomous Driving and Ethical Issues
• Safety and ethical issues in autonomous vehicles
• Safety measures for drivers, passengers, and pedestrians
• Legal regulations, standards, and ethical rules (ISO 26262, SAE J3016)
• Traffic rules and responsibilities of autonomous vehicles
• System Integration and Testing Processes
• Integration of autonomous and ADAS systems
• Software testing processes, debugging, and validation
• Real-time testing environments and simulations
• Test strategies: Virtual tests, dynamic tests, and real-world road tests
• Sensor Technologies and Data Analysis
• LIDAR, radar, and cameras: Sensor characteristics and integration with each other
• Analysis and fusion of sensor data
• Detection of road surfaces, traffic signs, and other environmental factors
• Sensor data integration and interactive systems
• Safety and Regulations in Autonomous Vehicles
• ISO 26262 safety standards
• Testing and certification processes for autonomous vehicles
• Software and hardware solutions used to ensure system safety
• Data security and protection of personal data in autonomous vehicles
• Future Trends and Innovations
• Emerging trends in autonomous vehicles: 5G integration, V2X (Vehicle-to-Everything) communication
• Integration of electric vehicles and autonomous driving technologies
• Future autonomous systems and innovative solutions in the automotive industry
• Future studies and the widespread adoption of autonomous vehicles

The training is open for corporate collaboration (institution/company legal entities), and individual applications are not accepted. The training content can be re-planned according to the corporate participant profile and needs. After mutual discussions, the scope and method of the training (Face-to-Face, Online) will be determined, and the relevant processes will be completed. Upon agreement, the available days and hours for your institution's participants and our instructors will be arranged, and the location of the training will be determined.