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Course Outline
Introduction to AI in Autonomous Vehicles
- Exploring autonomous driving levels and AI integration
- Survey of AI frameworks and libraries utilized in autonomous driving
- Emerging trends and innovations in AI-driven vehicle autonomy
Deep Learning Fundamentals for Autonomous Driving
- Neural network architectures designed 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
- 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
- Developing behavioral prediction models
- Trajectory forecasting for obstacle avoidance
- Driver state and intent recognition
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
- Knowledge of automotive technology and computer vision
Target Audience
- Data scientists focused on developing autonomous driving solutions
- AI professionals specializing in automotive AI
- Developers interested in applying deep learning to self-driving vehicles
21 Hours
