Presentation 2014-01-20
Ego-motion estimation algorithm for a small unmanned aerial vehicle using motion-detection model of the insect's visual system
Fuyuki UENO, Hirotsugu OKUNO, Kazuo ISHII, Tetsuya YAGI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) A compact ego-motion estimation system is required for autonomous control of an unmanned air vehicle whose demand is increasing recently. In this study, we proposed an algorithm that estimates the ego-motion by discriminating optical flow patterns, inspired by insect's visiomotor control system. First, this algorithm calculates the local velocity from images of the surface of the ground by using a motion-detection model inspired by an insect's visual system. Then, the algorithm integrates the local velocity to estimate ego-motion. We tested this algorithm assuming that the vehicle moves horizontally and rotates in yaw.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) optical flow / insect / neuromorphic / EMD / UAV
Paper # NC2013-73
Date of Issue

Conference Information
Committee NC
Conference Date 2014/1/13(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Ego-motion estimation algorithm for a small unmanned aerial vehicle using motion-detection model of the insect's visual system
Sub Title (in English)
Keyword(1) optical flow
Keyword(2) insect
Keyword(3) neuromorphic
Keyword(4) EMD
Keyword(5) UAV
1st Author's Name Fuyuki UENO
1st Author's Affiliation ()
2nd Author's Name Hirotsugu OKUNO
2nd Author's Affiliation Graduate School of Engineering, Osaka University
3rd Author's Name Kazuo ISHII
3rd Author's Affiliation Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
4th Author's Name Tetsuya YAGI
4th Author's Affiliation Graduate School of Engineering, Osaka University
Date 2014-01-20
Paper # NC2013-73
Volume (vol) vol.113
Number (no) 382
Page pp.pp.-
#Pages 6
Date of Issue