Autonomous and Connected Electric Vehicles

• Proficiency in AI and machine learning concepts
• Experience with automotive software development
• Understanding of IoT and communication protocols

Audience

• AI engineers working on autonomous vehicle technologies
• Automotive industry leaders focusing on EV innovation
• IoT developers integrating connectivity solutions in EVs

Autonomous and Connected Electric Vehicles represent the convergence of EV technology with AI-driven autonomy and vehicle-to-everything (V2X) communication, offering safer and more efficient transportation solutions.

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to develop in-depth knowledge of autonomous EV systems, connectivity features, and the cybersecurity challenges associated with connected and autonomous vehicles.

By the end of this training, participants will be able to:

• Implement autonomous driving algorithms and control systems.
• Integrate V2X communication for connected vehicle networks.
• Address cybersecurity risks in autonomous EVs.
• Develop real-time processing solutions for autonomous navigation.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Autonomous and Connected EVs

• Overview of autonomous driving technology in EVs
• Understanding vehicle-to-everything (V2X) communication
• Key challenges and opportunities in connected mobility

Autonomous Driving Technologies

• Deep learning algorithms for perception and decision-making
• Sensor fusion and real-time data processing
• Path planning and motion control in autonomous EVs

V2X Communication Systems

• Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) communication
• Leveraging 5G for real-time data exchange
• Integrating smart city infrastructure with autonomous EVs

Cybersecurity in Autonomous and Connected EVs

• Identifying vulnerabilities in connected vehicle networks
• Securing communication channels and data integrity
• Implementing encryption and intrusion detection systems

Software Architectures for Autonomous EVs

• Modular software design for autonomous driving systems
• Optimizing real-time processing in embedded environments
• Managing software updates and system integration

Simulation and Testing of Autonomous EV Systems

• Creating virtual environments for autonomous driving validation
• Testing V2X communication under varied conditions
• Analyzing simulation data for performance improvement

Case Studies and Real-World Applications

• Success stories from autonomous EV deployments
• Lessons learned from integrating connectivity features
• Best practices from leading automotive innovators

Summary and Next Steps