One of the most important tasks on robot soccer is localization. The team robots should self-localize on the 18 x 12 meters soccer field. Since a few years ago the soccer field has increased and the corner posts were removed and that increased the localization task complexity. One important aspect to take care for a proper localization is to find out the robot orientation. This paper proposes a new technique to calculate the robot orientation. The proposed method consists of using a histogram of white-green transitions (to detect the lines on the field) to know the robot orientation. This technique does not take much computational time and proves to be very reliable.
In the field of feature selection and statistical techniques, Ribeiro et al. REF proposed a method that consisted in using a histogram of white-green transitions for robot orientation.
Robot orientation with histograms on MSL
RoboCup
Computer Science