Martin Hirzer

Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization

We present an efficient method for geolocalization in urban environments starting from a coarse estimate of the location provided by a GPS and using a simple untextured 2.5D model of the surrounding buildings. Our key contribution is a novel efficient and robust method to optimize the pose: We train…