Course Outline

Introduction to Autonomous Vehicles for Government

  • Definition and history of self-driving technology for government
  • Key advantages and challenges of autonomous vehicles for government operations
  • Industry trends and major players in the autonomous vehicle ecosystem for government use

Levels of Vehicle Autonomy for Government

  • SAE automation levels (0-5) for government applications
  • Comparison between ADAS (Advanced Driver Assistance Systems) and full autonomy for government vehicles
  • Real-world examples of autonomous vehicle deployment in public sector operations

Core Technologies Behind Autonomous Vehicles for Government

  • Artificial intelligence and machine learning applications in self-driving cars for government
  • Sensor technologies: LiDAR, radar, cameras, and ultrasonic sensors for government vehicles
  • Fusion of sensor data for perception and decision-making in government fleet management

Autonomous Vehicle Control and Navigation for Government

  • How self-driving cars perceive their environment for government use
  • Path planning and decision-making algorithms for government vehicle operations
  • Real-time vehicle control and motion planning for government fleets

Communication and Connectivity in Self-Driving Cars for Government

  • Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication for government applications
  • Role of 5G and cloud computing in autonomous mobility for government agencies
  • Autonomous vehicle cybersecurity challenges for government fleets

Ethics, Safety, and Regulations for Government

  • Ethical considerations in self-driving car decision-making for government operations
  • Legal frameworks and government regulations for autonomous vehicles in public sector use
  • Ensuring safety and reliability in autonomous driving for government fleets

Hands-on Simulations for Government

  • Introduction to CARLA and ROS for autonomous vehicle testing for government agencies
  • Simulating object detection and obstacle avoidance for government vehicles
  • Analyzing self-driving car performance in virtual environments for government use

Future of Autonomous Mobility for Government

  • Innovations in AI-powered transportation for government operations
  • Impact of autonomous vehicles on industries and society, with a focus on public sector implications
  • Next steps for learning and specialization in autonomous vehicle technology for government professionals

Summary and Next Steps for Government

Requirements

  • Basic knowledge of vehicle mechanics (recommended but not required)
  • Interest in self-driving technology and intelligent transportation systems for government

Audience

  • Business leaders and decision-makers exploring autonomous mobility solutions for government
  • Professionals new to autonomous technology
  • General enthusiasts interested in self-driving vehicles
 14 Hours

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