nuPlan

The 'nuPlan' dataset/benchmark is a comprehensive dataset designed for evaluating autonomous driving planning algorithms, containing diverse driving scenarios and annotated data for safe motion planning.

Papers using nuPlan (5)

CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving2025 · 3 citesCorrectionPlanner: Self-Correction Planner with Reinforcement Learning in Autonomous Driving2026Learning Safe Autonomous Driving Policies Using Predictive Safety Representations2025CaRL: Learning Scalable Planning Policies with Simple Rewards2025Reinforced Imitative Trajectory Planning for Urban Automated Driving2024