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

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