Fundamentals of Autonomous Vehicle Design
( 30 Modules )

Module #1
Introduction to Autonomous Vehicles
Overview of autonomous vehicle technology, history, and applications

Module #2
Sensor Systems
Overview of sensor types, including cameras, lidar, radar, and ultrasonic sensors

Module #3
Computer Vision for Autonomous Vehicles
Fundamentals of computer vision and its application in autonomous vehicles

Module #4
Machine Learning for Autonomous Vehicles
Introduction to machine learning concepts and their application in autonomous vehicles

Module #5
Perception and Object Detection
Techniques for object detection, tracking, and scene understanding

Module #6
Motion Planning and Control
Introduction to motion planning and control algorithms for autonomous vehicles

Module #7
Localization and Mapping
Techniques for vehicle localization and mapping

Module #8
Vehicle Dynamics and Control
Fundamentals of vehicle dynamics and control systems

Module #9
Autonomous Vehicle Software Architecture
Overview of software architecture for autonomous vehicles

Module #10
Safety and Security Considerations
Safety and security considerations for autonomous vehicle design

Module #11
Regulations and Standards
Overview of regulations and standards for autonomous vehicles

Module #12
Autonomous Vehicle Testing and Validation
Methods for testing and validating autonomous vehicle systems

Module #13
Simulation and Virtual Testing
Introduction to simulation and virtual testing for autonomous vehicles

Module #14
Human-Machine Interface (HMI) Design
Design considerations for human-machine interfaces in autonomous vehicles

Module #15
Electrical and Electronics Systems
Overview of electrical and electronics systems in autonomous vehicles

Module #16
Communication Systems
Introduction to communication systems for autonomous vehicles, including V2X and connectivity

Module #17
Cybersecurity for Autonomous Vehicles
Cybersecurity threats and mitigation strategies for autonomous vehicles

Module #18
Autonomous Vehicle Business Models
Overview of business models and market trends in autonomous vehicles

Module #19
Autonomous Vehicle Ethics and Societal Impacts
Ethical considerations and societal implications of autonomous vehicles

Module #20
CASE (Connected, Autonomous, Shared, Electric) Study
In-depth study of the intersection of CASE trends in the automotive industry

Module #21
Advanced Driver-Assistance Systems (ADAS)
Overview of ADAS features and technologies

Module #22
Sensor Fusion and Calibration
Techniques for sensor fusion and calibration in autonomous vehicles

Module #23
Motion Forecasting and Prediction
Methods for motion forecasting and prediction in autonomous vehicles

Module #24
Autonomous Vehicle Deployment and Operations
Strategies for deploying and operating autonomous vehicles

Module #25
Autonomous Vehicle Maintenance and Repair
Considerations for maintaining and repairing autonomous vehicles

Module #26
Autonomous Vehicle Data Analysis
Introduction to data analysis for autonomous vehicle development and testing

Module #27
Autonomous Vehicle Validation and Verification
Methods for validating and verifying autonomous vehicle systems

Module #28
Autonomous Vehicle Certification and Homologation
Overview of certification and homologation processes for autonomous vehicles

Module #29
Autonomous Vehicle Industry Landscape
Overview of the autonomous vehicle industry, including key players and trends

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Fundamentals of Autonomous Vehicle Design career

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Fundamentals of Autonomous Vehicle Design ( 30 Modules )

Fundamentals of Autonomous Vehicle Design
( 30 Modules )