Improving tracking accuracy is one of the most
important issues for applying augmented reality to nuclear
power plant field work. When employing tracking method using
single camera and markers, tracking accuracy depends highly on
marker arrangement. Manual design of marker arrangement is
difficult to find a marker arrangement with high tracking accuracy.
Therefore this study is subject to develop a marker arrangement
optimization system based on genetic algorithm. Tracking
error computation is necessary for each marker arrangement
in marker arrangement optimization. Present tracking error
computation method are all probabilistic and therefore feasible
to nuclear power plant. A wheel tracking error computation
algorithm is developed. A marker arrangement optimization
algorithm is realized by combining genetic algorithm with the
wheel tracking error computation algorithm. Trial results show
that tracking accuracy can be improved significantly by applying
the advices provided by the marker arrangement optimization
system.