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Course Outline
Introduction to AI in Autonomous Vehicles
- Examining levels of autonomous driving and the integration of AI
- Overview of AI frameworks and libraries prevalent in autonomous driving
- Current trends and innovations driving AI-powered vehicle autonomy
Deep Learning Fundamentals for Autonomous Driving
- Neural network architectures tailored for self-driving cars
- Convolutional neural networks (CNNs) applied to image processing
- Recurrent neural networks (RNNs) for handling temporal data
Computer Vision for Autonomous Driving
- Detecting objects using YOLO and SSD algorithms
- Techniques for lane detection and road following
- Semantic segmentation for comprehensive environmental perception
Reinforcement Learning for Driving Decisions
- Applying Markov Decision Processes (MDP) within autonomous vehicles
- Training deep reinforcement learning (DRL) models
- Developing driving policies through simulation-based learning
Sensor Fusion and Perception
- Synthesising data from LiDAR, RADAR, and cameras
- Employing Kalman filtering and other sensor fusion methods
- Processing multi-sensor data for accurate environment mapping
Deep Learning Models for Driving Prediction
- Creating models for behavioural prediction
- Forecasting trajectories to aid in obstacle avoidance
- Recognising driver states and intent
Model Evaluation and Optimization
- Assessing model accuracy and performance through key metrics
- Applying optimisation techniques for real-time execution
- Deploying trained models onto autonomous vehicle platforms
Case Studies and Real-World Applications
- Analysing incidents involving autonomous vehicles and associated safety challenges
- Reviewing successful implementations of AI-driven driving systems
- Project: Developing an AI model for lane following
Requirements
- Proficiency in Python programming
- Practical experience with machine learning and deep learning frameworks
- Knowledge of automotive technologies and computer vision principles
Target Audience
- Data scientists seeking to engage with autonomous driving applications
- AI specialists specialising in automotive AI development
- Developers keen on applying deep learning techniques to self-driving cars
21 Hours
