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ADAS and Autonomous Driving Training

 

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CONTENT TYPE

VR, 3D ILV, Interactive Modules

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DURATION

3.5 Hours

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TARGET AUDIENCE

Technician

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COURSE DELIVERY

VR or WEB Based

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Credits :

Icons representing a four-step workflow: Learn, Assess, Evaluate, and Implement

 

About the Course:

This microcredential introduces learners to the cutting-edge components and systems powering Advanced Driver Assistance Systems (ADAS) and the evolution toward autonomous driving. Through interactive modules and immersive learning, students will explore the vital roles of sensors, actuators, vehicle dynamics, and data processing in modern electric vehicles (EVs). By bridging theory with practical application, this course empowers learners to understand, evaluate, and contribute to the safe and intelligent mobility systems of the future.

Learning Objectives:

  • Identify and describe key sensors used in ADAS, including cameras, LiDAR, ultrasonic, and infrared technologies.
  • Understand the historical development and progression of ADAS sensor technologies.
  • Explore sensor fusion, data processing, and the role of AI and machine learning in real-time driving decisions.
  • Recognize various actuators and control mechanisms that translate sensor input into vehicle action.
  • Analyze camera-based systems and the role of computer vision in lane detection, object recognition, and driver monitoring.
  • Understand close-range sensing applications using ultrasonic and IR sensors.
  • Evaluate vehicle dynamics systems and their integration with ADAS, such as regenerative braking and electronic stability control.
  • Investigate cybersecurity challenges and fail-safe architectures essential to ADAS integrity and passenger safety.
  • Experience sensor and LiDAR placement in 3D/VR environments to understand physical installation, angles, and field of view considerations.

To go deeper into the hardware behind these systems, see our ADAS sensors and actuators training.

This ADAS and Autonomous Driving training is delivered through our LMS and is available as both web-based and immersive VR training.

 

Advanced Driver Assistance Systems training for EV technicians and engineers

 

ADAS and Autonomous Driving Training for EV Technicians

EV vehicle system diagnostics and ADAS skills for aspiring EV technicians

At ImmerseLearn, we recognize that the future of mobility relies on intelligent, adaptive, and secure vehicle systems. This course equips learners with the foundational and emerging knowledge to engage with the fast-evolving ADAS landscape, driving innovation and safety on the road.

Sensor and Actuator Literacy −
Build fluency in the terminology and function of modern ADAS components, from imaging sensors and LiDAR arrays to brake actuators and steering mechanisms, to support design, diagnostics, and development.
Vision, Fusion, and Intelligence +
Dive into the advanced sensing technologies and explore how AI-driven systems integrate data from diverse sources to enable real-time decision-making and semi-autonomous responses.
Control Systems and Cybersecurity +
Explore how vehicle dynamics are managed by ADAS through smart braking, traction control, and electronic stability programs. Learn how these systems maintain control in critical situations while defending against cybersecurity threats.
Virtual Reality for Real-World Insight +
Experience sensor placement and system design through VR environments, building intuitive understanding of spatial configuration, detection zones, and real-world implementation challenges.

By completing this microcredential, learners will be prepared to navigate the ADAS ecosystem with technical confidence, supporting innovation, safety, and reliability across today’s smart vehicle platforms.