Abstract
Location is a core component of today's mobile devices and apps. While GPS is widely used, it continues to perform poorly when satellite visibility is obscured, e.g. in urban canyons. This paper explores the potential benefits of cloud- and crowd-assisted GPS for tackling urban canyons. Specifically, we present early results on utilizing high resolution environment scans such as Digital Surface Models (DSMs) to aid GPS calculations. Second, we suggest initial designs for leveraging location corrections from other mobile device users to enhance noisy GPS readings.
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