UrbanScan: 3D modeling of urban scenes with a new stereo approach
Project name: UrbanScan: 3D modeling of urban scenes with a new stereo approach
Description: In this project we propose a mobile reconstruction system based on 3D vision algorithms for obtaining models of entire city streets. The novelty with respect to previous systems is the development of a processing pipeline able to conciliate reconstruction accuracy with fast execution “on-the-fly“. If succeeded, the project will provide the grounds of a scalable solution for the 3D modeling of entire cities, which has a broad range of applications, as proven by the interest of major players like Google. In addition, the methods and techniques herein developed will be highly relevant for autonomous robots and intelligent transportation systems, that can highly benefit from real-time 3D perception of urban environments.
PI: João Pedro Barreto
Reference: Google Faculty Research Award
Fundind entity: Google Inc
Duration of the action: 2014-01-01 - 2014-12-31