Lightweight Line Features for Indoor Camera Pose Estimation

Amir Geva, Hector Rotstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Pose estimation in an indoor environment is of utmost importance for robotic applications. With the absence of a ubiquitous GPS alternative, vision based methods become the go-to approach. This paper introduces a light-weight method for orientation and position estimation from a single frame based on typical indoor architectural features. This method can be used in an autonomous micro aerial vehicle to navigate in real-time with a limited on board processor.

Original languageEnglish
Title of host publicationIPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538656358
DOIs
StatePublished - 13 Nov 2018
Externally publishedYes
Event9th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2018 - Nantes, France
Duration: 24 Sep 201827 Sep 2018

Publication series

NameIPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation

Conference

Conference9th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2018
Country/TerritoryFrance
CityNantes
Period24/09/1827/09/18

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Optimization

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