Module 1 – ADAS Fundamentals
- Evolution from ADAS to AD
- SAE autonomy levels
- ADAS system architecture
- Vehicle sensor overview
Module 2 – Sensors & Hardware
- Camera systems
- Radar principles
- LiDAR fundamentals
- Sensor placement & calibration
Module 3 – Perception & Computer Vision
- Image processing basics
- Object detection & tracking
- Lane detection
- Deep learning for perception
Module 4 – Sensor Fusion
- Multi-sensor fusion concepts
- Kalman & Extended Kalman Filters
- Tracking & data association
- Fusion architectures
Module 5 – Localization & Mapping
- GPS & IMU integration
- HD maps
- SLAM techniques
- Vehicle localization
Module 6 – Planning & Control
- Behavior planning
- Trajectory generation
- Vehicle control algorithms
- ACC, AEB, LKA
Module 7 – Software Architecture
- AUTOSAR Classic & Adaptive
- Middleware & SOA
- Real-time constraints
- High-performance ECUs
Module 8 – Safety & Cybersecurity
- ISO 26262 for ADAS
- SOTIF (ISO 21448)
- Fail-operational design
- Cybersecurity threats
Module 9 – Testing & Validation
- SIL, HIL & VIL
- Scenario-based testing
- Simulation & replay
- Performance metrics
Capstone – End-to-End ADAS Project
- ADAS function design
- Perception & fusion pipeline
- Planning & control
- OEM-level design review