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Course Outline
Introduction to AI in Autonomous Vehicles
- Understanding levels of autonomous driving and AI integration
- Overview of AI frameworks and libraries utilized in autonomous driving
- Current trends and innovations in AI-powered vehicle autonomy
Deep Learning Fundamentals for Autonomous Driving
- Neural network architectures suitable for self-driving cars
- Convolutional neural networks (CNNs) for image processing
- Recurrent neural networks (RNNs) for handling temporal data
Computer Vision for Autonomous Driving
- Object detection using YOLO and SSD
- Techniques for lane detection and road following
- Semantic segmentation for environmental perception
Reinforcement Learning for Driving Decisions
- Application of Markov Decision Processes (MDP) in autonomous vehicles
- Training deep reinforcement learning (DRL) models
- Simulation-based approaches for learning driving policies
Sensor Fusion and Perception
- Integrating data from LiDAR, RADAR, and cameras
- Kalman filtering and advanced sensor fusion techniques
- Processing multi-sensor data for environment mapping
Deep Learning Models for Driving Prediction
- Creating behavioral prediction models
- Trajectory forecasting to support obstacle avoidance
- Recognizing driver state and intent
Model Evaluation and Optimization
- Key metrics for assessing model accuracy and performance
- Optimization strategies for real-time execution
- Deploying trained models on autonomous vehicle platforms
Case Studies and Real-World Applications
- Analyzing autonomous vehicle incidents and associated safety challenges
- Exploring successful implementations of AI-driven driving systems
- Project: Development of a lane-following AI model
Requirements
- Strong proficiency in Python programming
- Practical experience with machine learning and deep learning frameworks
- Working knowledge of automotive technology and computer vision
Target Audience
- Data scientists aiming to specialize in autonomous driving applications
- AI professionals focused on developing automotive AI solutions
- Developers interested in applying deep learning techniques to self-driving vehicles
21 Hours
