Mapping sidewalks on a neighborhood scale from street view images
Omar Faruqe Hamim,
Surendra Reddy Kancharla,
Satish V Ukkusuri
Abstract:Although reliable and accurate inventorying of sidewalks is time consuming, it can aid urban planners in decision making for infrastructure development. Recent advancements in computer vision and machine learning algorithms have improved the reliability and accuracy of automated inventorying. This research uses a deep learning architecture-based semantic segmentation model (i.e., HRNet + OCR) to automate sidewalk identification using Google Street View (GSV) images. The results show that retraining the model u… Show more
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