Safety-Critical Autonomous Vehicles: Is the Neural Network Aware of the Unknown?

Date:

Thursday, Oct 6, 2022

Time:

4:00 pm

Room:

Aquamarin

Summary:

Many safety-critical systems, such as autonomous vehicles, rely on neural networks as state-of-the-art for image classification. Despite high accuracy, their final classification decision is difficult to verify. Uncertainty on how neural networks will behave is a challenge to safety. A known issue is providing high probabilities for unknown images. This deep dive will present some novel solutions to inspect certain parameters of trained neural network for detecting out-of-distribution data.

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