Design and Implementation of Locations Matching Algorithm for Multi-Object Recognition and Localization


A new algorithm for multi-object recognition and localization is introduced in this paper. This algorithmdeals with objects which have different reflectivity factors and distinguish color with respect to the other objects.Two beacons scan multi-color objects using long distance IR sensors to estimate their absolute locations. These twobeacon nodes are placed at two corners of the environment. The recognition of these objects is estimated bymatching the locations of each object with respect to the two beacons. A look-up table contains the distancesinformation about different color objects is used to convert the reading of the long distance IR sensor from voltage todistance units. The locations of invisible objects are computed by using absolute locations of invisible objectsmethod. The performance of introduced algorithm is tested with several experimental scenarios that implemented oncolor objects.