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Autonomous indoor navigation of a stock quadcopter with off-board control

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

5 Scopus citations

Abstract

We present an enhanced autonomous indoor navigation system for a stock quadcopter drone where all navigation commands are derived off-board on a base station. The base station processes the video stream transmitted from a forward-facing camera on the drone to determine the drone's physical disposition and trajectory in building hallways to derive steering commands that are sent to the drone. Off-board processing and the lack of on-board sensors for localizing the drone permits standard mid-range quadcopters to be used and conserves the limited power source on the quadcopter. We introduce improved and new techniques, compared to our prototype system [1], to maintain stable flights, estimate distance to hallway intersections and describe algorithms to stop the drone ahead of time and turn correctly at intersections.

Original languageEnglish
Title of host publication2017 Workshop on Research, Education and Development of Unmanned Aerial Systems, RED-UAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages132-137
Number of pages6
ISBN (Electronic)9781538609392
DOIs
StatePublished - Nov 8 2017
Event2017 Workshop on Research, Education and Development of Unmanned Aerial Systems, RED-UAS 2017 - Linkoping, Sweden
Duration: Oct 3 2017Oct 5 2017

Publication series

Name2017 Workshop on Research, Education and Development of Unmanned Aerial Systems, RED-UAS 2017

Conference

Conference2017 Workshop on Research, Education and Development of Unmanned Aerial Systems, RED-UAS 2017
Country/TerritorySweden
CityLinkoping
Period10/3/1710/5/17

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