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Course Outline
Introduction to AI in Autonomous Vehicles
- Exploring levels of autonomous driving and AI integration
- Overview of AI frameworks and libraries utilized in autonomous driving
- Emerging 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
- Markov Decision Processes (MDP) in autonomous vehicles
- Training deep reinforcement learning (DRL) models
- Simulation-based learning for developing driving policies
Sensor Fusion and Perception
- Combining LiDAR, RADAR, and camera data
- Kalman filtering and sensor fusion methodologies
- Multi-sensor data processing for environment mapping
Deep Learning Models for Driving Prediction
- Constructing behavioral prediction models
- Trajectory forecasting for obstacle avoidance
- Recognizing driver state and intent
Model Evaluation and Optimization
- Metrics for assessing model accuracy and performance
- Optimization techniques for real-time execution
- Deploying trained models onto autonomous vehicle platforms
Case Studies and Real-World Applications
- Analyzing autonomous vehicle incidents and safety challenges
- Examining successful implementations of AI-driven driving systems
- Project: Developing a lane-following AI model
Summary and Next Steps
Requirements
- Strong proficiency in Python programming
- Prior experience with machine learning and deep learning frameworks
- Basic knowledge of automotive technology and computer vision
Target Audience
- Data scientists looking to work on autonomous driving projects
- AI experts specializing in automotive AI development
- Developers keen on applying deep learning techniques to self-driving car technology
21 Hours
