Evolutionary recognition of marker using adaptive model-based matching

In order to ensure recognizing automatically and traveling stably for a mobile robot traveling along corridor and to confirm its capability in intelligence, the research presents a corridor recognition method using genetic algorithm with the adaptive model length based on the surface-strips model. The feasibility and stability of the proposed real-time detection method for the corridorpsilas markers with high robustness against the noises such as lighting condition varieties and obstacles are discussed. The robustness of the method against environmental noises and the effectiveness of the method for real-time recognition with the adaptive model have been verified using real corridor images.