Design and implementation of locations matching algorithm for multi-object recognition and localization

Abstract EN

A new algorithm for multi-object recognition and localization is introduced in this paper.

This algorithm deals 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 two beacon nodes are placed at two corners of the environment.

The recognition of these objects is estimated by matching the locations of each object with respect to the two beacons.

A look-up table contains the distances information about different color objects is used to convert the reading of the long distance IR sensor from voltage to distance units.

The locations of invisible objects are computed by using absolute locations of invisible objects method.

The performance of introduced algorithm is tested with several experimental scenarios that implemented on color objects.