Context-aware Attention-based Gaussian Mixture Models for Vehicular Trajectory Prediction
The Context-Aware Attention-based Gaussian Mixture Model (CAA-GMM) is a lightweight method for predicting vehicle trajectories. It combines probabilistic modeling with attention mechanisms to fuse environmental cues and agent interactions, achieving top accuracy while keeping computational costs low. This allows for social consistency in prediction.