Leveraging Multi-Stream Information Fusion for Trajectory Prediction in Low-Illumination Scenarios: A Multi-Channel Graph Convolutional Approach

Computer Science

• Autonomous Vehicles 50%
• Convolutional Neural Network 50%
• Deep Learning 50%
• Experimental Result 50%
• Fundamental Problem 50%
• Graph Convolutional Network 50%
• Illumination Condition 50%
• Information Stream 100%
• Long Short-Term Memory Networks 50%
• Prediction Model 50%
• Relative Motion 50%
• Source Codes 50%
• Temporal Graph 50%
• Temporal Information 50%
• Uncertainty Estimation 50%