RuLiF: Rule-Guided Lightweight Framework for Multiagent Trajectory Forecasting in Traffic Systems
Accurate multiagent trajectory forecasting is paramount for the safety of autonomous driving systems, yet existing methods frequently struggle to balance high predictive fidelity with the computational efficiency required for real-time deployment. This study proposes a rule-guided lightweight framework (RuLiF), a nov...