2026
IMPACT: Behavioral Intention-Aware Multimodal Trajectory Prediction With Adaptive Context Trimming
RA-L 2026
This paper presents a unified framework that jointly predicts behavioral intentions and vectorized occupancy, leveraging them as priors to dynamically prune context information during trajectory decoding, thereby enhancing prediction accuracy, interpretability, and efficiency. While most prior work