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Course Outline
Introduction to AI in Autonomous Vehicles
- Exploring the levels of autonomous driving and the integration of AI
- An overview of the AI frameworks and libraries utilized in autonomous driving
- Current trends and innovations in AI-driven vehicle autonomy
Foundations of Deep Learning for Autonomous Driving
- Neural network architectures specifically designed for self-driving cars
- Convolutional neural networks (CNNs) applied to image processing
- Recurrent neural networks (RNNs) for handling temporal data
Computer Vision in Autonomous Driving
- Object detection methods using YOLO and SSD
- Techniques for lane detection and road following
- Semantic segmentation to perceive the environment
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
- Combining data from LiDAR, RADAR, and cameras
- Utilizing Kalman filtering and sensor fusion techniques
- Processing multi-sensor data for environmental mapping
Deep Learning Models for Driving Prediction
- Creating models for behavioral prediction
- Trajectory forecasting for effective 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
- Deployment of trained models on autonomous vehicle platforms
Case Studies and Practical Applications
- Reviewing autonomous vehicle incidents and associated safety challenges
- Examining successful real-world implementations of AI-driven driving systems
- Capstone Project: Developing a lane-following AI model
Requirements
- Strong command of Python programming
- Practical experience with machine learning and deep learning frameworks
- Working knowledge of automotive technology and computer vision
Target Audience
- Data scientists looking to specialize in autonomous driving applications
- AI specialists with a focus on automotive AI development
- Developers seeking to apply deep learning techniques to self-driving cars
21 Hours
