Crowdsourced Streetview: Integrating Real-Time Imagery Updates into Google Streetview

This paper presents Crowdsourced Streetview, a system that integrates real-time imagery updates into Google Streetview by leveraging crowdsourced images from social media platforms. Our approach utilizes advanced image alignment and feature detection algorithms to overlay user-contributed images onto existing Streetview data, achieving real-time performance with an image alignment runtime of 19ms per image pair. Crowdsourced Streetview has the potential to provide up-to-date and real-time visual representations of locations, particularly in rapidly changing environments and during events such as natural disasters.