Search Results for author: Paul Stöckel

Found 1 papers, 1 papers with code

Instance-Level Safety-Aware Fidelity of Synthetic Data and Its Calibration

1 code implementation10 Feb 2024 Chih-Hong Cheng, Paul Stöckel, Xingyu Zhao

Modeling and calibrating the fidelity of synthetic data is paramount in shaping the future of safe and reliable self-driving technology by offering a cost-effective and scalable alternative to real-world data collection.

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