Lightweight infrared sensing for relative navigation of quadrotors

A lightweight solution for estimating position and velocity relative to a known marker is presented. The marker consists of three infrared (IR) LEDs in a fixed pattern. Using an IR camera with a 100 Hz update rate, the range and bearing to the marker are calculated. This information is then fused wi...

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Bibliographic Details
Main Authors: Cutler, Mark Johnson (Contributor), Michini, Bernard J. (Contributor), How, Jonathan P. (Contributor)
Other Authors: Massachusetts Institute of Technology. Aerospace Controls Laboratory (Contributor), Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2013-10-17T18:40:29Z.
Subjects:
Online Access:Get fulltext
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042 |a dc 
100 1 0 |a Cutler, Mark Johnson  |e author 
100 1 0 |a Massachusetts Institute of Technology. Aerospace Controls Laboratory  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Aeronautics and Astronautics  |e contributor 
100 1 0 |a Cutler, Mark Johnson  |e contributor 
100 1 0 |a Michini, Bernard J.  |e contributor 
100 1 0 |a How, Jonathan P.  |e contributor 
700 1 0 |a Michini, Bernard J.  |e author 
700 1 0 |a How, Jonathan P.  |e author 
245 0 0 |a Lightweight infrared sensing for relative navigation of quadrotors 
260 |b Institute of Electrical and Electronics Engineers,   |c 2013-10-17T18:40:29Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/81416 
520 |a A lightweight solution for estimating position and velocity relative to a known marker is presented. The marker consists of three infrared (IR) LEDs in a fixed pattern. Using an IR camera with a 100 Hz update rate, the range and bearing to the marker are calculated. This information is then fused with inertial sensor information to produce state estimates at 1 kHz using a sigma point Kalman filter. The computation takes place on a 14 gram custom autopilot, yielding a lightweight system for generating high-rate relative state information. The estimation scheme is compared to data recorded with a motion capture system. 
520 |a National Science Foundation (U.S.) (Graduate Research Fellowship under Grant No. 0645960) 
546 |a en_US 
655 7 |a Article 
773 |t 2013 International Conference on Unmanned Aircraft Systems (ICUAS)