Portions of the physical road network that have visibly changed, and then Our approachįirst compares satellite images captured at different times to identify Satellite imagery over time to substantially improve accuracy. We then propose a novel method that leverages the progression of In this paper, we first explain whyĬurrent map extraction techniques yield low accuracy when extended to updateĮxisting maps. Scratch given geospatial data sources (in effect creating entirely new maps),īut do not address the second step of leveraging this extracted information to Step of this pipeline: these map extraction methods infer road networks from However, prior work largely focuses on the first Geospatial data sources to extract insights, and second leverage those insights An end-to-end map update system would first process Sources such as GPS trajectories and satellite images to reduce the cost of
This challenge, much work has studied automatically processing geospatial data Download a PDF of the paper titled Updating Street Maps using Changes Detected in Satellite Imagery, by Favyen Bastani and 7 other authors Download PDF Abstract: Accurately maintaining digital street maps is labor-intensive.
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