Experimental verification of a visual-augmented inertial navigation system for small rotorcraft UAVs

Ehsan Asadi, Carlo L. Bottasso, Pietro Danesi, Mehmet Suat Kay, Koray Küçük, Domenico Leonello

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

Abstract

A previously documented sensor fusion algorithm utilizing stereo vision for state estimation was field tested using sensor and image data acquired on-board a small rotorcraft. Various improvements to the baseline algorithms are described, including a robust feature detector and an outlier rejection algorithm. An accompanying hardware implementation is described, and experimental trials are conducted to verify the characteristics of the state estimator in practical cases, with encouraging results.

Original languageEnglish
Title of host publicationAmerican Helicopter Society International - AHS Specialists' Meeting on Unmanned Rotorcraft and Network Centric Operations 2011
Pages114-122
Number of pages9
StatePublished - 2011
Externally publishedYes
EventAHS Specialists' Meeting on Unmanned Rotorcraft and Network Centric Operations 2011 - Tempe, AZ, United States
Duration: 25 Jan 201127 Jan 2011

Publication series

NameAmerican Helicopter Society International - AHS Specialists' Meeting on Unmanned Rotorcraft and Network Centric Operations 2011

Conference

ConferenceAHS Specialists' Meeting on Unmanned Rotorcraft and Network Centric Operations 2011
Country/TerritoryUnited States
CityTempe, AZ
Period25/01/1127/01/11

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