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Yasasa Abeysirigoonawardena

2 accepted papers

2023

Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering

CoRL 2023poster

Self-driving software pipelines include components that are learned from a significant number of training examples, yet it remains challenging to evaluate the overall system's safety and generalization performance. Together with scaling up the real-world deployment of autonomous vehicles, it is of c…

Cited by 3SourceScholar
2019

Generating Adversarial Driving Scenarios in High-Fidelity Simulators

ICRA 2019poster

In recent years self-driving vehicles have become more commonplace on public roads, with the promise of bringing safety and efficiency to modern transportation systems. Increasing the reliability of these vehicles on the road requires an extensive suite of software tests, ideally performed on high-f…

Cited by 173SourceScholar