Course Outline

Introduction to AI in Autonomous Vehicles

  • Understanding autonomous driving levels and AI integration
  • Overview of AI frameworks and libraries used in autonomous driving
  • Trends and innovations in AI-powered vehicle autonomy

Deep Learning Fundamentals for Autonomous Driving

  • Neural network architectures for self-driving cars
  • Convolutional neural networks (CNNs) for image processing
  • Recurrent neural networks (RNNs) for temporal data

Computer Vision for Autonomous Driving

  • Object detection using YOLO and SSD
  • Lane detection and road following techniques
  • Semantic segmentation for environmental perception

Reinforcement Learning for Driving Decisions

  • Markov Decision Processes (MDP) in autonomous vehicles
  • Training deep reinforcement learning (DRL) models
  • Simulation-based learning for driving policies

Sensor Fusion and Perception

  • Integrating LiDAR, RADAR, and camera data
  • Kalman filtering and sensor fusion techniques
  • Multi-sensor data processing for environment mapping

Deep Learning Models for Driving Prediction

  • Building behavioral prediction models
  • Trajectory forecasting for obstacle avoidance
  • Driver state and intent recognition

Model Evaluation and Optimization

  • Metrics for model accuracy and performance
  • Optimization techniques for real-time execution
  • Deploying trained models in autonomous vehicle platforms

Case Studies and Real-World Applications

  • Analyzing autonomous vehicle incidents and safety challenges
  • Exploring successful implementations of AI-driven driving systems
  • Project: Developing a lane-following AI model

Summary and Next Steps

Requirements

  • Proficiency in Python programming
  • Experience with machine learning and deep learning frameworks
  • Familiarity with automotive technology and computer vision

Audience

  • Data scientists aiming to work on autonomous driving applications
  • AI specialists focusing on automotive AI development
  • Developers interested in deep learning techniques for self-driving cars
 21 Hours

Delivery Options

Private Group Training

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    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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