Operative trajectory calculation for control algorithms in mobile-robotics using Superpixel segmentation

Superpixel segmentation has been developed in many ways, like an optimized recognition system´s research, making faster and sturdy ways to calculate superpixels and segmenting information from the real world, by now the result has lead to implement SLIC Superpixels method, which is a low hardware requirement code, inside an embedded system, making it as fast as possible, to accomplish the need of placing it inside a robot. So why is this need so important? Because the way the robot has to execute an entrusted task is really important, and time is a primary factor of it, to improve its functions and benchmarks reactions. The project improves the SLIC Method of making superpixels with average from the original color segmented matrix; and then calculate with KMEANS method the centers and clusters from objects, but before that an attached method based in a section of set labels an average and a bilateral filter already applied this. Finally with a fuzzy positioner it can be found the optimal route of its movement.