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: | IEEE transactions on intelligent transportation systems 2022-12, Vol.23 (12), p.25271-25286 |
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