Ementorhub

What you'll learn

Evaluate the basic concepts, design elements, and performance of autonomous electric vehicles.

Explore the features of sensor systems and perception as applied for autonomous driving.

Evaluate the principal safety measures required to facilitate mobility in autonomous electric vehicles.

Identify common challenges in AEV technology and what industry stakeholders are identifying as potential solutions.

Skills you'll gain

Environmental Engineering

Emerging Technologies

Global Positioning Systems

Algorithms

Automation

Reliability

Electric Power Systems

Artificial Intelligence and Machine Learning (AI/ML)

Safety Assurance

Artificial Intelligence

Computer Vision

Technology Solutions

Electrical Engineering

Control Systems

Safety and Security

Data Ethics

Cybersecurity

There is 1 module in this course

In the first part of this course, we embark on an exploration of the foundations of AEVs. We take a deep dive into the history and evolution of autonomous electric vehicles, tracing their roots from early experiments to the present day. Learners will gain an appreciation of the importance of AEVs in reducing emissions, enhancing safety, and revolutionizing transportation in urban environments. The second segment of the course immerses learners in the heart of AEV technology—the sensor systems, perception algorithms, and decision-making processes that enable vehicles to navigate autonomously. In the final part of the course, we confront the critical aspects of safety and the challenges that lie ahead for AEVs. Safety is paramount in autonomous driving, as we explore the regulatory frameworks and measures in place to ensure the well-being of passengers and pedestrians alike. This course is designed for electric vehicle (EV) enthusiasts interested in the future of electric and autonomous vehicles. It is recommended to complete the basic course on electric vehicle technology before taking this course.