🚗 5-Day Training Program: Connected & Automated Vehicles (CAV)

🎯 Target Audience

• Telecom & IT Professionals
• Automotive Engineers
• AI/ML Engineers
• Management & Strategy Professionals
• Students (Engineering / Technology)

🎯 Training Objectives

By the end of the program, participants will:

• Understand CAV ecosystem, technologies, and architecture
• Learn connectivity (V2X, 5G) and automation fundamentals
• Explore sensors, AI, and perception systems
• Analyze real-world case studies and industry trends
• Evaluate business, regulatory, and societal impact

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📅 DAY 1: Introduction to CAV & Industry Landscape

🔹 Topics Covered

• Introduction to Connected & Automated Vehicles
• Evolution of Automotive Industry (CASE: Connectivity, Automation, Sharing, Electrification)
• History & Milestones of CAV development
• Levels of Automation (SAE Levels 0–5)
• CAV Ecosystem & Key Players

📘 Reference Insight: The book highlights the transformation driven by connectivity and automation trends and their overlap in shaping future mobility

🔹 Activities

• Group discussion: Future of mobility in India / global markets
• Case study: Tesla vs Waymo approaches

🔹 Learning Outcome

Participants understand the CAV landscape and industry evolution

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📅 DAY 2: Connectivity & Communication Technologies

🔹 Topics Covered

• Vehicle Connectivity Fundamentals
• V2X Communication:
  • V2V (Vehicle-to-Vehicle)
  • V2I (Vehicle-to-Infrastructure)
  • V2N (Vehicle-to-Network)
• Technologies:
  • DSRC vs C-V2X
  • Role of 4G/5G in CAV
• Intelligent Transportation Systems (ITS)

📘 Reference Insight: Connectivity enables crash avoidance, mobility enhancement, and environmental improvements

🔹 Activities

• Design exercise: Smart city connected transport system
• Telecom mapping: Role of 5G in autonomous driving

🔹 Learning Outcome

Participants gain strong understanding of communication systems in CAV

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📅 DAY 3: Sensors, Perception & AI Systems

🔹 Topics Covered

• Sensor Technologies:
  • LIDAR, RADAR, Cameras, Ultrasonic
• Sensor Fusion Techniques
• Computer Vision & AI:
  • Object Detection
  • Tracking & Segmentation
• Deep Learning in Autonomous Driving

📘 Reference Insight: Perception system is the most complex component requiring accurate object detection and classification

🔹 Activities

• Demo: AI-based object detection (video simulation)
• Case Study: Waymo / Tesla perception systems

🔹 Learning Outcome

Participants understand AI-driven perception and sensor integration

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📅 DAY 4: Path Planning, Control & Safety

🔹 Topics Covered

• Path Planning & Decision Making
• Behavioral Models & Algorithms
• Motion Control Systems
• Safety Systems:
  • Functional Safety
  • Redundancy & Fail-safe design
• Testing & Validation:
  • Simulation
  • Real-world testing

📘 Reference Insight: CAV systems rely on three core systems—Perception, Planning, and Actuation

🔹 Activities

• Scenario simulation: Obstacle avoidance
• Ethical discussion: “Trolley problem” in autonomous vehicles

🔹 Learning Outcome

Participants learn how vehicles make decisions and ensure safety

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📅 DAY 5: Business, Regulation & Future Trends

🔹 Topics Covered

• Business Models:
  • Robo-taxis
  • Autonomous logistics
• Market Leaders & Industry Trends
• Regulatory & Legal Framework
• Societal Impact:
  • Safety
  • Jobs & economy
• Future Outlook:
  • AI, 5G, Edge Computing
  • Smart Cities integration

📘 Reference Insight: CAV adoption depends on technology maturity, regulation, and public acceptance

🔹 Activities

• Final project presentation
• Strategy workshop: CAV adoption roadmap

🔹 Learning Outcome

Participants understand business, policy, and future opportunities

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🧪 Capstone Project (Final Day)

Participants design:

• A CAV-based smart mobility solution
• Includes:
  • Architecture
  • Technology stack
  • Business model
  • ROI estimation

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📊 Training Deliverables

• Slides & course material
• Case studies (Tesla, Waymo, GM Cruise)
• Certification

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Master Connected and Automated Vehicles (CAV) in this intensive 5-day training program covering V2X communication, 5G, AI, sensors, path planning, and smart mobility. Designed for engineers, telecom professionals, and business leaders, this course delivers practical insights, real-world case studies, and future-ready skills for autonomous driving and intelligent transportation systems.