Simultaneous localization and mapping using monocular direct method

Chao Meng, Baiwei Guo, Xin Liu

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

3 Citations (Scopus)

Abstract

In this paper, we accomplish simultaneous localization and mapping using the monocular LSD-SLAM. This method is different with feature method, estimating the accurate and reconstructing the large scale environment map. Using the direct image alignment, the environment can be mapped in pose-graph of key frames semi-dense maps. The LSD-SLAM contains two advantage. A novel direct tracking method can definitely estimate the scale-drift. In addition, the probabilistic estimation can optimize the effect of noisy depth values on tracking. The experiment showed the LSD-SLAM is reliability, robustness and real-time.

Original languageEnglish
Title of host publication2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509035496
DOIs
Publication statusPublished - 2016
Event14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 - Phuket, Thailand
Duration: 13 Nov 201615 Nov 2016

Publication series

Name2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016

Conference

Conference14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
Country/TerritoryThailand
CityPhuket
Period13/11/1615/11/16

Keywords

  • LSD-SLAM
  • direct image alignment
  • probabilistic estimation
  • semi-dense maps

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