Automotive Engineering: Advanced Driver-Assistance Systems (ADAS)
Course Introduction
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Introduction
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Vehicle Modeling
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- Vehicle Dynamics and Motion Models (3:58)
- Computer Vision for ADAS (3:57)
- Lane Detection and Lane Keeping (3:33)
- Object Detection and Classification (3:36)
- Pedestrian and Cyclist Detection (3:58)
- Adaptive Cruise Control (ACC) (4:06)
- Forward Collision Warning (FCW) and Automatic Emergency Braking (AEB) (3:53)
- Blind Spot Detection and Rear Cross Traffic Alert (3:19)
Advanced Architectures, Calibration and Safety
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- Driver Monitoring Systems (3:09)
- Sensor Calibration and Alignment Techniques (3:44)
- Electronic Control Units and ADAS Software Architecture (3:33)
- In-Vehicle Networks for ADAS (4:04)
- Functional Safety in ADAS (ISO 26262) (4:41)
- System Reliability and Fault Tolerance (3:31)
- Object Tracking and Sensor Fusion Algorithms (3:59)
Mapping, Control and Validation
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- Road Sign Recognition and Traffic Light Detection (3:47)
- Mapping and Localization (4:25)
- V2X (Vehicle-to-Everything) in ADAS (4:05)
- Control Systems for ADAS: Longitudinal Control (4:01)
- Control Systems for ADAS: Lateral Control (3:48)
- Hardware-in-the-Loop (HIL) Testing for ADAS (3:57)
- Software-in-the-Loop (SIL) and Model-in-the-Loop (MIL) Testing (3:55)
Real-Time Constraints, Cybersecurity and Future Outlook
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- Real-Time Constraints and Embedded Optimization (3:52)
- Environmental Factors and Robustness (3:38)
- Cybersecurity in ADAS (3:49)
- Human-Machine Interface (HMI) for ADAS (4:04)
- Test Track Validation and On-Road Testing (3:04)
- Validation Metrics and Standards (2:47)
- Trends in ADAS Hardware and Standards (5:05)
- Future Outlook and Autonomous Driving Transition (3:45)
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