CommonRoad-Geometric

Emerging

1papers using it

2023first seen

CommonRoad-Geometric is a benchmark that provides standardized graph datasets extracted from traffic scenarios to evaluate GNN-based autonomous driving research, focusing on the complex interactions among traffic participants and road infrastructure.

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Papers using CommonRoad-Geometric (1)

Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric2023