NuPlan is the first closed-loop benchmark for ML-based autonomous vehicle planning, with 1500h multi-city driving data, reactive simulation, and scenario-specific metrics.
Large scale interactive motion forecast- ing for autonomous driving: The waymo open motion dataset
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Argoverse 2 introduces three new datasets with annotated sensor data, massive lidar collections, and challenging motion forecasting scenarios for autonomous driving research.
PSI is a benchmark dataset for pedestrian intention prediction, driver decision modeling, and reasoning generation in traffic interactions, enriched with human textual explanations.
citing papers explorer
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NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
NuPlan is the first closed-loop benchmark for ML-based autonomous vehicle planning, with 1500h multi-city driving data, reactive simulation, and scenario-specific metrics.
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Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
Argoverse 2 introduces three new datasets with annotated sensor data, massive lidar collections, and challenging motion forecasting scenarios for autonomous driving research.
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PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions
PSI is a benchmark dataset for pedestrian intention prediction, driver decision modeling, and reasoning generation in traffic interactions, enriched with human textual explanations.