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Shakiba Yaghoubi

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

Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions

IROS 2021poster

Sampling-based methods such as Rapidly-exploring Random Trees (RRTs) have been widely used for generating motion paths for autonomous mobile systems. In this work, we extend time-based RRTs with Control Barrier Functions (CBFs) to generate, safe motion plans in dynamic environments with many pedestr…

Cited by 36SourceScholar