Using parallel evolutionary development for a biologically-inspired computer vision system for mobile robots

Authors :: Cameron H G, Wright
Steven F, Barrett
Daniel J, Pack
Source :: Biomedical sciences instrumentation. 41
Publication Year :: 2005
Abstract: We describe a new approach to attacking the problem of robust computer vision for mobile robots. The overall strategy is to mimic the biological evolution of animal vision systems. Our basic imaging sensor is based upon the eye of the common house fly, Musca domestica. The computational algorithms are a mix of traditional image processing, subspace techniques, and multilayer neural networks.

Subjects :: Movement
Transducers
Information Storage and Retrieval
Numerical Analysis, Computer-Assisted
Signal Processing, Computer-Assisted
Equipment Design
Robotics
Image Enhancement
Computing Methodologies
Pattern Recognition, Automated
Equipment Failure Analysis
Artificial Intelligence
Biomimetic Materials
Houseflies
Image Interpretation, Computer-Assisted
Animals
Cluster Analysis
Photoreceptor Cells, Invertebrate
Algorithms

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