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cs.CV2024
Making the Flow Glow -- Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients
Simon Kristoffersson Lind, Rudolph Triebel, Volker Krüger
Modern robotic perception is highly dependent on neural networks. It is well known that neural network-based perception can be unreliable in real-world deployment, especially in di…
cs.CV2023★ 1 cited
Out-of-Distribution Detection for Adaptive Computer Vision
Simon Kristoffersson Lind, Rudolph Triebel, Luigi Nardi +1
It is well known that computer vision can be unreliable when faced with previously unseen imaging conditions. This paper proposes a method to adapt camera parameters according to a…