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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