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Course Outline
Foundations of Autonomous Vehicles
- Defining self-driving technology and tracing its historical evolution.
- Highlighting the primary benefits and obstacles associated with autonomous vehicles.
- Reviewing industry trends and key stakeholders in the autonomous vehicle sector.
Gradations of Vehicle Autonomy
- Overview of SAE automation levels (0 through 5).
- Distinguishing between ADAS (Advanced Driver Assistance Systems) and full autonomy.
- Case studies of real-world autonomous vehicle deployments.
Foundational Technologies for Autonomous Vehicles
- The role of artificial intelligence and machine learning in self-driving cars.
- Sensor hardware: LiDAR, radar, cameras, and ultrasonic units.
- Data fusion techniques for perception and decision-making.
Control and Navigation in Autonomous Vehicles
- How self-driving cars perceive and interpret their surroundings.
- Algorithms for path planning and decision-making.
- Real-time vehicle control and motion planning strategies.
Connectivity and Communication in Self-Driving Cars
- Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication protocols.
- The impact of 5G and cloud computing on autonomous mobility.
- Addressing cybersecurity challenges in autonomous vehicles.
Ethics, Safety, and Regulatory Frameworks
- Ethical dilemmas in self-driving car decision processes.
- Legal structures and government regulations governing autonomous vehicles.
- Strategies for ensuring safety and reliability in autonomous driving.
Practical Simulation Exercises
- Getting started with CARLA and ROS for autonomous vehicle testing.
- Simulating object detection and obstacle avoidance scenarios.
- Evaluating self-driving car performance in virtual settings.
The Future of Autonomous Mobility
- Innovations in AI-driven transportation.
- The societal and industrial impact of autonomous vehicles.
- Recommended next steps for specializing in autonomous vehicle technology.
Wrap-up and Path Forward
Requirements
- A foundational understanding of vehicle mechanics is beneficial but not mandatory.
- A keen interest in self-driving technologies and intelligent transportation systems.
Target Audience
- Executives and decision-makers evaluating autonomous mobility strategies.
- Professionals new to the field of autonomous technology.
- General enthusiasts with an interest in self-driving vehicles.
14 Hours
