Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates

Driver observation models are rarely deployed under perfect conditions. In practice, illumination, camera placement and type differ from the ones present during training and unforeseen behaviours may occur at any time. While observing the human behind the steering wheel leads to more intuitive human...

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Veröffentlicht in:	arXiv.org 2022-04
Hauptverfasser:	Roitberg, Alina, Peng, Kunyu, Schneider, David, Yang, Kailun, Koulakis, Marios, Martinez, Manuel, Stiefelhagen, Rainer
Format:	Artikel
Sprache:	eng
Schlagworte:	Activity recognition Algorithms Calibration Estimates Image classification Misalignment Neural networks Object recognition Scaling Uncertainty
Online-Zugang:	Volltext
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