Recent advances in artificial intelligence (AI) and computer vision have enabled detailed mapping of urban spaces at scale using street-level imagery data. In this talk, we present an end-to-end process of mapping sidewalks and street furniture from the collection of high-resolution panoramic sidewalk view images to producing detailed spatial point and line data layers representing the walking infrastructure. We demonstrate the applicability of the developed AI-powered process in a sidewalk mapping project in Sydney.
No recording is available from this session.
Speakers
Next up in State of the Map US
Previous talkKeynote: Mapping Prejudice
Mapping Prejudice is a research group at the University of Minnesota showing the history of housing discrimination in Minnesota and Minneapolis in particular.