Study on AGV Navigation Strategy Based on Fuzzy Data Fusion
Qunjing Wang · Acta Simulata Systematica Sinica · 2004
Automated Guided Vehicles (AGV) can successfully reach its destination or move along a desired path in an environment characterized by a terrain. AGV usually uses different kinds of sensors to sense its environment in order to have abilities of track following and obstacle avoidance. With fusing data collected by the visual sensor and the ultrasonic sonar, Fuzzy Logic is adopted to guide the AGV under uncertain environment. Simulation results demonstrate that the algorithm is feasible and valid.