Course Outline

Introduction to Autonomous and Connected Electric Vehicles for Government

  • Overview of autonomous driving technology in electric vehicles (EVs)
  • Understanding vehicle-to-everything (V2X) communication systems
  • Key challenges and opportunities in connected mobility for government operations

Autonomous Driving Technologies

  • Deep learning algorithms for perception and decision-making processes
  • Sensor fusion and real-time data processing techniques
  • Path planning and motion control in autonomous EVs to enhance operational efficiency

V2X Communication Systems

  • Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) communication protocols
  • Leveraging 5G technology for real-time data exchange in government fleets
  • Integrating smart city infrastructure with autonomous EVs to support public sector goals

Cybersecurity in Autonomous and Connected EVs for Government

  • Identifying vulnerabilities in connected vehicle networks for enhanced security
  • Securing communication channels and maintaining data integrity within government systems
  • Implementing encryption and intrusion detection systems to protect sensitive information

Software Architectures for Autonomous EVs in Government Operations

  • Modular software design for autonomous driving systems to ensure flexibility and scalability
  • Optimizing real-time processing in embedded environments to support mission-critical applications
  • Managing software updates and system integration to maintain operational readiness

Simulation and Testing of Autonomous EV Systems for Government

  • Creating virtual environments for autonomous driving validation to ensure reliability and safety
  • Testing V2X communication under varied conditions to meet public sector requirements
  • Analyzing simulation data for performance improvement in government fleets

Case Studies and Real-World Applications of Autonomous EVs for Government

  • Success stories from autonomous EV deployments in public sector operations
  • Lessons learned from integrating connectivity features into government vehicles
  • Best practices from leading automotive innovators to inform government decision-making

Summary and Next Steps for Government Implementation

Requirements

  • Proficiency in artificial intelligence and machine learning concepts
  • Experience with automotive software development for government applications
  • Understanding of Internet of Things (IoT) technologies and communication protocols

Audience

  • AI engineers working on autonomous vehicle technologies for government use
  • Automotive industry leaders focusing on electric vehicle innovation for government fleets
  • IoT developers integrating connectivity solutions in electric vehicles for government operations
 14 Hours

Number of participants


Price per participant

Upcoming Courses

Related Categories