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Quantification of Uncertainties in Deep Learning-based Environment Perception
In this work, we introduce a novel Deep Learning-based method to perceive the environment of a vehicle based on radar scans while accounting for uncertainties in its predictions.
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models
In recent work, we proposed a novel approach to utilise the advantages of CNNs for the task of road segmentation at reasonable computational effort.
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