Visionary Collaborative Outdoor Reconstruction using SLAM and SfM

Research output: Contribution to conferencePaperpeer-review


In this position paper, we argue about a concept for collaborative
outdoor reconstruction using SLAM clients and a scalable SfM engine
running in the cloud. Based on previous observations and
results, we discuss issues like illumination changes, overall scalability
or the dacay of buildings, having a serious impact on the
practical feasibility of such a system. Revisiting ideas and insights
from work on outdoor reconstruction and localization done in the
last couple of years, we outline an idea for collaborative and vivid
reconstruction of the world, potentially through the cameras of millions
of mobile devices.
Original languageEnglish
Number of pages2
Publication statusPublished - 19 Mar 2016
EventSEARIS @ IEEE VR 2016: Software Engineering and Architectures for Realtime Interactive Systems - Greenville/Spartenburg, SC, Greenville, United States
Duration: 19 Mar 201620 Mar 2016


WorkshopSEARIS @ IEEE VR 2016
Country/TerritoryUnited States
Internet address


  • SLAM
  • SfM
  • Outdoor
  • Tracking


Dive into the research topics of 'Visionary Collaborative Outdoor Reconstruction using SLAM and SfM'. Together they form a unique fingerprint.

Cite this