Multispectral, Polarized and Unconventional Vision in Robotics

Dear Colleagues,

Vision in robotics can benefit from unconventional techniques such as multispectral or polarization imaging, or a combination of them. It is well known that animals such as birds, fish, crustaceans, or insects are capable of navigating over great distances, showing their abilities to exploit all visual information available in their terrestrial, aerial, or aquatic surrounding environment. They can manage this without detecting artificial signals coming from antennas or satellites, simply using polarization information. As a result, understanding how they detect and fuse visual information could be helpful in the development of innovative and disruptive technologies in autonomous robotics.     

Furthermore, despite advances in computer vision and the increase in pixel number or frame rate, it seems that current visual systems or devices available on the market, even based on unconventional techniques, do not reach the level of performance of the ones in animals’ visual system.

This Special Issue will bring together original and innovative works on visual information extraction from imaging or non-imaging techniques including unconventional visual sensors. Method papers describing optical test benches or calibration procedures will be also accepted.

Dr. Julien R Serres
Dr. Olivier Morel
Dr. Pierre-Jean Lapray
Prof. Dr. Laurent Bigué
Guest Editors

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