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Automotive Engineering: Advanced Driver-Assistance Systems
Course Introduction
ADAS Course Introduction (3:38)
Introduction
ADAS Sensor Overview (3:27)
Camera Systems in ADAS (3:45)
Radar Systems in ADAS (4:16)
LiDAR Systems in ADAS (4:08)
Ultrasonic Sensors (3:33)
Sensor Data Fusion: Fundamentals (3:52)
Sensor Data Fusion: Advanced Methods (4:02)
Vehicle Modeling
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
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
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
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)
Object Tracking and Sensor Fusion Algorithms
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