Deep learning serves traffic safety analysis: A forward-looking review

Keyphrases

• Deep Learning 100%
• Traffic Safety Analysis 100%
• Processing Framework 100%
• Comparative Analysis 50%
• Traffic Safety 50%
• Monitoring System 50%
• Remaining Challenges 50%
• Analysis Modeling 50%
• Open-source Tools 50%
• Crowdsourcing 50%
• Conventional Learning 50%
• Deep Learning Methods 50%
• Autonomous Vehicles 50%
• Deep Learning Model 50%
• Processing pipeline 50%
• Driving Safety 50%
• Automated Driving Systems 50%
• Human-driven Vehicles 50%
• Edge Computing 50%
• Roadside Infrastructure 50%
• Traffic Monitoring System 50%
• Commercial Implementations 50%
• Segmentation Object 50%
• Deep Learning Algorithm 50%
• Anomaly Detection 50%
• Object Classification 50%
• Video Enhancement 50%
• Event Modeling 50%
• Event Analysis 50%
• Cognition Evaluation 50%
• Traffic Problems 50%
• Event Anomaly 50%
• Safety Metrics 50%
• Traffic Video 50%
• Driver Cognition 50%
• Operational Safety 50%
• Video Stabilization 50%
• Trajectory Extraction 50%
• Object Detection 50%
• Traffic Video Analysis 50%
• Public Dataset 50%
• Speed Estimation 50%

Computer Science

• Monitoring System 100%
• Deep Learning 100%
• Comparative Analysis 50%
• Open Source Tool 50%
• Conventional Learning 50%
• Deep Learning 50%
• Autonomous Vehicles 50%
• Traffic Monitoring 50%
• Edge Computing 50%
• Event Analysis 50%
• Object Detection 50%
• Roadside Infrastructure 50%
• Anomaly Detection 50%
• Video Enhancement 50%
• Deep Learning Model 50%
• Video Stabilization 50%

Engineering

• Deep Learning 100%
• Safety Analysis 100%
• Monitoring System 50%
• Infrastructure 25%
• Metrics 25%
• Roadsides 25%
• Comparative Analysis 25%
• Edge Computing 25%
• Video Stabilization 25%
• Anomaly Detection 25%
• Video Enhancement 25%