most citedMUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks

13 citations · 13 across the 1 of their papers we have counts for

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1 paper

cs.CV2022★ 13 cited

MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks

Gianni Franchi, Xuanlong Yu, Andrei Bursuc +5

Predictive uncertainty estimation is essential for safe deployment of Deep Neural Networks in real-world autonomous systems. However, disentangling the different types and sources…