Computer vision algorithms for aerospace applications

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This proposal describes continuing research sponsored by NSERC held in the Computer Vision Management Laboratory (CVML) at the Department of Aerospace Engineering of Ryerson University. Dr. Okouneva's research interests lie in the area of applications of computer vision to the aerospace industry. In the space domain, applications include planetary exploration, on-orbit rendezvous and spacecraft inspection, automatic docking and satellite servicing operations. Dr. Okouneva's proposed research program research program includes the following projects: 1) Feature selection for 3D registration of range images of spacecraft objects. This project includes the research and development of an intelligent procedure of feature selection on spacecraft objects to achieve the best registration accuracy; 2) Research on properties of the initial guess for iterative pose estimation algorithms, in particular, what parameters of a pose estimation problem affect the initial guess and how to optimally choose it; 3) Optimal Strategy of Target Placement on Spacecraft Surfaces. The goal of this project is to estimate a possible accuracy improvement when targets form an optimized set on the surface of a spacecraft module.The research described in this proposal has substantial significance both for Canada and for the computer vision community as a whole. Future planetary exploration missions, development of satellite technology and satellite servicing, increasing safety requirements for spacecraft vehicles, and on-orbit astronaut's work require reliable vision systems. Dr. Okouneva research programs will highlight perspective avenues for innovation in space vision applicable to industry and academia. The proposed research contributes significantly to the training of highly qualified personnel. The program will support a PhD student and two MASc students each year. Students contributing to the proposed research will gain valuable skills and knowledge. Direct exposure to modern Computer Vision techniques will aid them in developing technical expertise, special engineering knowledge and expertise in computer science which are required for engineering leadership.