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The document presents a novel approach to trajectory prediction for autonomous driving, addressing the trustworthiness and interpretability of predictions by integrating prior knowledge about agent interactions and kinematic feasibility. The proposed method, TPK, utilizes a directed-gradient social force model (DG-SFM) to improve interaction interpretability and introduces kinematic layers tailored to various agent classes, including a new pedestrian model. Experiments demonstrate that while accuracy may sl

Author

thuongpx6450

Language

EN