title: A bio-inspired apposition compound eye machine vision sensor system.
abstract: The Wyoming Information, Signal Processing, and Robotics Laboratory is developing a wide variety of bio-inspired vision sensors. We are interested in exploring the vision system of various insects and adapting some of their features toward the development of specialized vision sensors. We do not attempt to supplant traditional digital imaging techniques but rather develop sensor systems tailor made for the application at hand. We envision that many applications may require a hybrid approach using conventional digital imaging techniques enhanced with bio-inspired analogue sensors. In this specific project, we investigated the apposition compound eye and its characteristics commonly found in diurnal insects and certain species of arthropods. We developed and characterized an array of apposition compound eye-type sensors and tested them on an autonomous robotic vehicle. The robot exhibits the ability to follow a pre-defined target and avoid specified obstacles using a simple control algorithm.
authors.affiliation: Applied Research Laboratories, University of Texas, 10000 Burnet Rd, Austin, TX 78757, USA.
authors.forename: J D
authors.initials: JD
authors.lastname: Davis
authors.forename: S F
authors.initials: SF
authors.lastname: Barrett
authors.forename: C H G
authors.initials: CH
authors.lastname: Wright
authors.forename: M
authors.initials: M
authors.lastname: Wilcox
mesh_terms: D000818:Animals; D001181:Arthropods / Q000502:physiology*; D001185:Artificial Intelligence; D040761:Biomimetic Materials; D054910:Compound Eye, Arthropod / Q000502:physiology*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation* / Q000379:methods; D014159:Transducers