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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on
         
        
            Conference_Location : 
Barcelona
         
        
            Print_ISBN : 
978-1-4673-0062-9
         
        
        
            DOI : 
10.1109/ICCVW.2011.6130258