DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurrent Convolutional Neural Network

Robin Kreuzig, Matthias Ochs, Rudolf Mester

Classical monocular vSLAM/VO methods suffer from the scale ambiguity problem. Hybrid approaches solve this problem by adding deep learning methods, for example by using depth maps…