The course is structured into progressive modules covering hardware, software, algorithms, and system-level integration for ADAS and autonomous vehicles.
Key topics include:
✓ Introduction & Architecture: Fundamentals of autonomous driving, ADAS safety standards, and vehicle E/E architectures with bus systems such as CAN, LIN, and Ethernet.
✓ Sensors & Perception: Camera, radar, LiDAR, ultrasonic sensors, GPS, and data flow for localization and object detection.
✓ ADAS Features: Lane-keeping assist, collision warning, adaptive cruise control, cross-traffic alerts, and driver monitoring.
✓ AI & Data Processing: Machine learning, computer vision, decision-making algorithms, sensor fusion, and model-based development.
✓ Safety & Cybersecurity: Verification and validation, functional safety (ISO 26262), digital transformation, IoT, and threat mitigation.
✓ Regulatory & Integration: Legal and liability frameworks, embedded systems, system testing, and vehicle-level validation.
This modular approach builds end-to-end expertise in smart mobility systems.
Skills You Will Gain
4 Subjects
28 Exercises • 32 Learning Materials
37 Exercises • 41 Learning Materials
33 Exercises • 38 Learning Materials
32 Exercises • 36 Learning Materials
33+ years of Product Design, Development & Management Consulting experience. An accomplished, performance-driven & focused professional having rich experience in Engineering & Management mainly focusing on Vehicle Integration (Mobility, Electrical & Electronics), Systems Engineering, Project Management, Strategic Planning & Business Development in the Automotive, Defense, and Industrial Automation & Instrumentation field. He did his Diploma & Bachelor of Engineering (Instrumentation), Master of Business Studies (Marketing Management), PhD (Product Lifecycle & Obsolescence Management).
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