The Autonomous and Advanced Driver Assistance Systems Training Program offers in-depth education on autonomous technologies and advanced driver assistance systems designed to enhance driving safety. Participants will gain valuable skills in system development and implementation.
The training is for professional development purposes, and the certificate obtained does not replace the MYK authorization certificate in trainings where the MYK authorization certificate is mandatory.
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Autonomous Vehicle Technologies and Fundamentals:
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The basics of autonomous vehicles: Autonomous driving levels (from Level 0 to Level 5)
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Key sensor technologies: LIDAR, radar, cameras, ultrasonic sensors
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Data collection and analysis techniques
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Environmental perception and decision-making processes in autonomous vehicles
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Advanced Driver Assistance Systems (ADAS):
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Introduction to ADAS technologies: Lane-keeping, emergency braking, blind spot detection, parking assist
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Semi-autonomous vehicle features and classifications
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Driver assistance and safety systems operation
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Safety-critical systems and standards in autonomous vehicles
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Artificial Intelligence and Machine Learning Applications:
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AI and machine learning methods used in autonomous vehicles
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Role of deep learning and image processing techniques in vehicle perception and decision-making
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AI-based sensor fusion and decision support systems
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Autonomous Driving and Ethical Issues:
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Safety and ethical concerns in autonomous driving
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Safety measures for drivers, passengers, and pedestrians
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Legal regulations, standards, and ethical guidelines (ISO 26262, SAE J3016)
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Autonomous vehicle traffic rules and responsibilities
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System Integration and Testing Processes:
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Integration of autonomous and ADAS systems
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Software testing processes, debugging, and validation
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Real-time test environments and simulations
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Test strategies: Virtual tests, dynamic tests, and real-world tests
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Sensor Technologies and Data Analysis:
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LIDAR, radar, and cameras: Sensor features and integration
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Sensor data analysis and fusion
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Perception of road surfaces, traffic signs, and other environmental factors
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Sensor-to-sensor data integration and interactive systems
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Autonomous Vehicle Safety and Regulations:
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ISO 26262 safety standards
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Autonomous vehicle testing and certification processes
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Software and hardware solutions to ensure system safety
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Data security and privacy concerns in autonomous vehicles
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Future Trends and Innovations:
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Emerging trends in autonomous vehicles: 5G integration, V2X (Vehicle-to-Everything) communication
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Integration of electric vehicles and autonomous driving technologies
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Future autonomous systems and innovative solutions in the automotive sector
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Ongoing developments and the widespread adoption of autonomous vehicles
The training is open to corporate partnerships (institution/company legal entities) and individual applications are not accepted. The training content can be re-planned according to the corporate participant profile and your needs. After mutual discussions, the scope and method of the training (In-person, Online) will be determined, and the relevant processes will be completed. If an agreement is reached, suitable dates and times for your institution’s participants and our instructors will be set, along with the location of the training.