Sensors and Actuators for ADAS Systems

About the Course:

This Sensors and Actuators for ADAS Systems microcredential introduces students to the critical components of Advanced Driver Assistance Systems (ADAS) in electric vehicles (EVs), with a focus on the sensors and actuators that enable modern semi-autonomous driving. Students will explore the evolution of sensor technology, the role of machine learning in decision-making, and the hardware that powers real-time driving responses. Through engaging modules and hands-on simulations, learners will gain a comprehensive understanding of how data-driven systems enhance safety and automation in EVs.

Learning Objectives:

Identify various ADAS-related sensors and actuators used in modern electric vehicles.
Understand the historical evolution of automotive sensor technology and its integration into electric mobility.
Explore the working principles and use cases of key sensing technologies including Radar, LIDAR, cameras, ultrasonic, and infrared sensors.
Analyze the role of computer vision and deep learning in image processing for ADAS.
Learn how actuators function in real-time to control braking, steering, and throttle systems.
Understand the concept of sensor fusion and how multiple data sources are combined for accurate vehicle perception.
Gain insight into the use of artificial intelligence and neural networks in self-driving systems.

Course will be delivered via LMS and comes with a VR headset to access VR simulations.

Workforce Development

At ImmerseLearn, we focus on preparing learners for the rapidly evolving electric vehicle industry. This microcredential offers future EV technicians a technical foundation in ADAS systems—skills increasingly demanded by employers in automotive, mobility, and autonomous technology sectors.

Comprehensive Sensor Knowledge

Develop a deep understanding of various sensors including Radar, LIDAR, cameras, ultrasonic, and infrared, and their specific functions in EV systems.

Historical and Technological Context

Explore the evolution from basic mechanical sensors to today’s AI-powered smart systems.

Actuator Systems Expertise

Understand how control mechanisms like steering, braking, and throttle actuators respond to sensor input to enable semi-autonomous driving.

Sensor Fusion & Data Processing

Learn how EVs combine data from multiple sources to create a complete, real-time understanding of their environment.

Machine Learning & AI Foundations

Gain a working knowledge of how neural networks, object recognition, and predictive modeling contribute to ADAS functionality and autonomous decision-making.

Hands-On Simulations

Practice with virtual simulations and interactive modules that mirror real-world scenarios in ADAS-enabled EV systems, providing job-ready experience in diagnostics and systems analysis.

By completing this microcredential, students will be equipped with the knowledge and practical skills needed to support, maintain, and troubleshoot the ADAS sensor and actuator systems in electric vehicles, preparing them for careers in next-generation automotive technology.

Hands-On Learning, Powering America Forward

Sensors and Actuators for ADAS Systems

CONTENT TYPE

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COURSE DELIVERY

About the Course:

Learning Objectives:

Course will be delivered via LMS and comes with a VR headset to access VR simulations.

Workforce Development

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