Visual navigation of a novel economical embedded multi-mode intelligent control system for powered wheelchair

Abstract

In order to assist different kinds of disabled people and senior citizens, and to improve the effectiveness and convenience of human-machine-environment interaction, a novel economical embedded multi-mode control system for intelligent wheelchair is developed which is based on a high-powered 16-bit single chip system. In this paper the real-time image processing and control strategies for the visual navigation mode of the embedded system are studied. A less data image array, an adaptive recognition algorithm, a fuzzy control strategy and fusion control strategies with other modes are addressed. Some verifying experiments are carried out and results are given. © 2010 Springer-Verlag Berlin Heidelberg.