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Canadian Communities are facing a tidal wave of physical infrastructure debt as their physical assets deteriorate due to age. This project aims to use urban LiDAR data (“streetscapes”) and computer vision to identify key physical assets such as (signs, curbs, centerline roads, streetlights, and other features) by there location (latitude / longitude) and key physical characteristics (size (height, width, length, thickness) and other characteristics. The objective is to use advanced technology to speed up the data collection process to aid in the identification of what assets are managed and their location.
Irene Cheng
Gabriel Lugo Bustillo
McElhanney Consulting Services Ltd
Computer science
Professional, scientific and technical services
University of Alberta
Accelerate
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