Artificial Intelligence in Automotive

Current state of the technology

• What is used
• What may be potentially used

• Simplifying decision

• Classification
• Clustering
• Neural Networks
• Types of Neural Networks
• Presentation of working examples and discussion

• Basic vocabulary
• When to use Deep Learning, when not to
• Estimating computational resources and cost
• Very short theoretical background to Deep Neural Networks

• Preparing Data
• Choosing loss function
• Choosing appropriate type on neural network
• Accuracy vs speed and resources
• Training neural network
• Measuring efficiency and error

• Anomaly detection
• Image recognition
• ADAS