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Cooperative Visual Simultaneous Localization and Mapping by Ordering Keyframes Similarity

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

1 Scopus citations

Abstract

In this paper, multiple moving cameras, which are employed to build the maps individually, are integrated to construct a complete map of the whole large environment. Since multiple cameras may capture the same scenes during performing its own SLAM, the keyframes similarity of each cameras could be evaluated to construct the relation between the map of each camera. The proposed cooperative SLAM algorithm can efficiently build the complete map and reduce the computational time. Through the experiments and analyses on several environments with different size, the amount of feature points, and the size of overlapping area between cameras, the proposed cooperative SLAM with multiple moving cameras can efficiently obtain the information of moving cameras and the environments.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538663011
DOIs
StatePublished - 27 Aug 2018
Event5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 - Taichung, Taiwan
Duration: 19 May 201821 May 2018

Publication series

Name2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018

Conference

Conference5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018
Country/TerritoryTaiwan
CityTaichung
Period19/05/1821/05/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

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