DocumentCode :
3017134
Title :
An insect-inspired omnidirectional vision system including UV-sensitivity and polarisation
Author :
Carey, Nicole ; Stürzl, Wolfgang
Author_Institution :
Dept. of Neurobiol., Bielefeld Univ., Bielefeld, Germany
fYear :
2011
fDate :
6-13 Nov. 2011
Firstpage :
312
Lastpage :
319
Abstract :
A major difference between insect vision and that of humans or standard computer vision systems is that insects are sensitive to the polarisation pattern of skylight, and also to the near-UV range of the electromagnetic spectrum. In this paper, we describe a bio-inspired imaging system that allows us to assess to what extent these features could potentially be used for autonomous robot navigation. We first establish that a low-resolution omnidirectional system incorporating a near-UV camera and a linear polariser - a simulacrum of the dorsal rim area of the insect compound eye - can resolve the clear sky natural polarisation pattern with sufficient accuracy to allow its use as a navigational tool. We then extend the bio-mimicry by incorporating an additional RGB camera, allowing us to utilise the full range of the insect´s visual spectrum. This enables us to capture and investigate the visual cues insects are employing for flight control and navigation, and paves the way for incorporating a similar system in an autonomous mobile robot. Additionally, we present a robust method for estimating sun position based on the polarisation pattern and thus confirm the utility of the system as a sky compass.
Keywords :
aerospace control; eye; image colour analysis; mobile robots; polarisation; robot vision; RGB camera; UV sensitivity; autonomous mobile robot; bio-inspired imaging system; bio-mimicry; computer vision; electromagnetic spectrum; flight control; flight navigation; insect compound eye; insect visual spectrum; linear polarisation; near-UV camera; omnidirectional vision system; robot navigation; skylight; visual cues insects; Aluminum; Cameras; Insects; Lenses; Mirrors; Sun; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-0062-9
Type :
conf
DOI :
10.1109/ICCVW.2011.6130258
Filename :
6130258
Link To Document :
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