An Embedded Driving Style Recognition Approach: Leveraging Knowledge in Learning

Engineering

• Automotives 50%
• Control Unit 100%
• Customisation 50%
• Electronic Control 100%
• Fuel Economy 50%
• Hierarchical Clustering 50%
• Hyperplanes 50%
• Learning Algorithm 50%
• Limited Performance 50%
• Real Vehicle 50%
• Recognition Model 50%
• Reliability Availability and Maintainability (Reliability Engineering) 50%
• Support Vector Machine 50%
• Vehicle Dynamics 50%

Computer Science

• Customisation 50%
• Driving Behavior 50%
• Electronic Control Unit 100%
• Executable File 50%
• Hierarchical Clustering 50%
• Hyperplanes 50%
• Learning Algorithm 50%
• Support Vector Machine 50%

Chemical Engineering

• Support Vector Machine 100%