Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification

Engineering

• Energy Engineering 100%
• Maximization 100%
• Data Source 100%
• Lane Change 100%
• Random Forest 50%
• Shallower 50%
• Classification Problem 50%
• Support Vector Machine 50%
• Network Model 50%
• Signal Data 50%
• False Alarm Rate 50%
• Long Short-Term Memory 50%
• Convolutional Neural Network 50%
• Continuous Signal 50%

Keyphrases

• Maneuvering Target Tracking 100%
• Telemetry Data 66%
• Energy Maximization 66%
• Memory Models 33%
• Horizontal Curve 33%
• 1D Convolutional Neural Network 33%
• Detecting Vehicles 33%
• Segmentation Classification 33%