Introduction to Automated Driving
Snapdragon and Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm Academy is a program of Qualcomm Technologies, Inc. and/or its subsidiaries.
This course offers a comprehensive introduction to Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD), focusing on the technologies, architectures, and development methodologies that enable modern driver-assist and self-driving capabilities. Learners explore the current state of ADAS on the road, regulatory impacts, and the user journey through L2+ autonomy. This course also delves into enabling technologies, AI-driven planning, and data-driven development practices that power next-generation mobility solutions.
Course Outline:
- Introduction to Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD)
- Enabling Technology
- L2+ User Journey and ADAS in everyday life
- Snapdragon Ride™ Solution
- Stack Architectures by Autonomy Level
- Environment Modelling
- AI Planner
- LLP
- Map Harvesting
- Data-Driven Development
Key Takeaways:
- Understand the landscape and evolution of ADAS and AD technologies.
- Identify key components and system architectures in autonomous platforms.
- Analyze the role of AI and sensor fusion in environment modeling and planning.
- Apply data-driven methodologies to support simulation, labeling, and development workflows.
- Evaluate the impact of regulatory frameworks and user experience in L2+ systems
Prerequisites:
- Basic understanding of automotive systems or embedded technologies.
- Familiarity with AI/ML concepts is helpful but not required.
- Interest in mobility, robotics, or systems engineering.