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Career Advancement Programme in Autonomous Vehicle Safety Systems
-- ViewingNowAutonomous Vehicle Safety Systems: This Career Advancement Programme equips engineers and technicians with cutting-edge skills in ADAS, sensor fusion, and cybersecurity. Learn about functional safety standards (ISO 26262) and cybersecurity threats in autonomous vehicles.
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- Introduction to Autonomous Vehicle Safety Standards and Regulations
- Sensor Fusion and Perception for Autonomous Vehicles
- Advanced Driver-Assistance Systems (ADAS) and their Safety Implications
- Functional Safety and ISO 26262 for Autonomous Vehicles
- Cybersecurity for Autonomous Driving Systems
- Verification and Validation Techniques for Autonomous Vehicle Safety
- Machine Learning for Safety in Autonomous Driving
- Ethical and Legal Considerations in Autonomous Vehicle Safety
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Career Role Description Autonomous Vehicle Safety Engineer (AVSE) Develop and implement safety systems for self-driving cars, ensuring functional safety and compliance with regulations.
Key skills include functional safety standards (ISO 26262), model-based design and testing.
AI/Machine Learning Engineer (Autonomous Driving) Develop and optimize algorithms for perception, planning, and control in autonomous vehicles.
Expertise in deep learning, computer vision, and robotics is crucial.
Software Engineer (Autonomous Vehicle Safety) Develop and maintain software for autonomous vehicle safety systems, ensuring robustness, reliability, and real-time performance.
Focus on safety-critical software development practices.
Cybersecurity Engineer (Autonomous Driving) Protect autonomous vehicle systems from cyber threats.
Key skills involve penetration testing, vulnerability assessment, and secure coding practices for autonomous systems.
Validation and Verification Engineer (AV Safety) Ensure the safety and reliability of autonomous vehicle systems through rigorous testing and validation procedures.
Knowledge of safety standards and testing methodologies is vital.
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