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Noushin Mehdipour

2 accepted papers

2024

Towards learning-based planning: The nuPlan benchmark for real-world autonomous driving

ICRA 2024poster

Machine Learning (ML) has replaced handcrafted methods for perception and prediction in autonomous vehicles. Yet for the equally important planning task, the adoption of ML-based techniques is slow. We present nuPlan, the world’s first real-world autonomous driving dataset and benchmark. The benchma…

Cited by 35SourceScholar
2021

The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior

IROS 2021poster

Autonomous vehicles must balance a complex set of objectives. There is no consensus on how they should do so, nor on a model for specifying a desired driving behavior. We created a dataset to help address some of these questions in a limited operating domain. The data consists of 92 traffic scenario…

Cited by 23SourcecodeScholar