Related papers: Context Aware Object Geotagging

Context Aware Object Geotagging

URL: http://arxiv.org/abs/2108.06302v1
Date: Fri, 13 Aug 2021 16:16:20 GMT
Title: Context Aware Object Geotagging
Authors: Chao-Jung Liu, Matej Ulicny, Michael Manzke and Rozenn Dahyot
Abstract summary: We propose an approach to improve asset geolocation from street view imagery using Structure from Motion. The predicted object geolocation is further refined by imposing contextual geographic information extracted from OpenStreetMap.
Score: 2.4674307340652297
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Localization of street objects from images has gained a lot of attention in recent years. We propose an approach to improve asset geolocation from street view imagery by enhancing the quality of the metadata associated with the images using Structure from Motion. The predicted object geolocation is further refined by imposing contextual geographic information extracted from OpenStreetMap. Our pipeline is validated experimentally against the state of the art approaches for geotagging traffic lights.

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