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Course Outline
Introduction to Autonomous and Connected Electric Vehicles (EVs)
- Overview of autonomous driving technology in EVs for government applications
- Understanding vehicle-to-everything (V2X) communication systems for government use
- Key challenges and opportunities in connected mobility for government operations
Autonomous Driving Technologies
- Deep learning algorithms for perception and decision-making in autonomous EVs
- Sensor fusion and real-time data processing for enhanced operational efficiency
- Path planning and motion control in autonomous EVs to ensure safe navigation
V2X Communication Systems
- Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) communication for improved safety and coordination
- Leveraging 5G technology for real-time data exchange in government fleets
- Integrating smart city infrastructure with autonomous EVs to enhance public services
Cybersecurity in Autonomous and Connected EVs
- Identifying vulnerabilities in connected vehicle networks for government security
- Securing communication channels and data integrity to protect sensitive information
- Implementing encryption and intrusion detection systems to safeguard against cyber threats
Software Architectures for Autonomous EVs
- Modular software design for autonomous driving systems to facilitate updates and maintenance
- Optimizing real-time processing in embedded environments to ensure reliable performance
- Managing software updates and system integration to maintain operational readiness
Simulation and Testing of Autonomous EV Systems
- Creating virtual environments for autonomous driving validation to enhance safety and reliability
- Testing V2X communication under varied conditions to ensure robust connectivity
- Analyzing simulation data for performance improvement and continuous enhancement
Case Studies and Real-World Applications
- Success stories from autonomous EV deployments in government operations
- Lessons learned from integrating connectivity features into public sector vehicles
- Best practices from leading automotive innovators for government adoption
Summary and Next Steps
Requirements
- Proficiency in artificial intelligence and machine learning concepts for government applications
- Experience with automotive software development, particularly in the public sector
- Understanding of Internet of Things (IoT) technologies and communication protocols
Audience
- AI engineers working on autonomous vehicle technologies for government initiatives
- Automotive industry leaders focusing on electric vehicle innovation for government fleets
- IoT developers integrating connectivity solutions in electric vehicles for government use
14 Hours