Local and Global Contextual Features Fusion for Pedestrian Intention Prediction

Keyphrases

• Pedestrian 100%
• Autonomous Vehicles 100%
• Pedestrian Intention Prediction 100%
• Contextual Feature Fusion 100%
• Global Contextual Information 100%
• Global Context 33%
• Visual Features 33%
• Spatiotemporal 33%
• Environmental Data 33%
• Location Information 33%
• Local Context 33%
• Real-world Deployment 33%
• Challenging Tasks 33%
• Body Pose 33%
• Contextual Features 33%
• F1 Score 33%
• Reliability Threshold 33%
• Safety Challenges 33%
• ROC-AUC 33%
• Pedestrian Behavior 33%
• Traffic Environment 33%
• Future Transportation 33%
• Pedestrian Attributes 33%
• Intention Prediction 33%
• Nonlinear Parameter 33%
• Prediction Learning 33%
• Scene Parsing 33%
• Pedestrian Intention 33%
• Motion Information 33%
• Multi-modality Features 33%
• Pedestrian Crossing Intention 33%

Computer Science

• Autonomous Vehicles 100%
• Feature Fusion 100%
• Multimodality 33%
• Experimental Result 33%
• Visual Feature 33%
• Motion Information 33%
• Linear Parameter 33%
• Crosswalk 33%
• Local Feature Context 33%
• Environmental Information 33%
• Location Information 33%