A Light-Weight Feasible Region Detection Method in Autonomous Walking Intelligent Robots

It is crucial to ensure the reliability and safety for intelligent robots. The premise of ensuring security is how to effectively perceive the external environment and extract the feasible region. In this paper, a light-weight feasible region detection method is proposed, which extracts the rough feasible region based on three-component information in Hue, Saturation, Value (HSV) space and then perfects the feasible region through edge extraction. The experimental results show that our method can achieve effective performance in the movement of intelligent robots.