Design of intelligent recognition and positioning algorithm for stairs based on depth camera

In the process of indoor reconnaissance, mobile robots often mistakenly identify stairs as obstacles. This problem is an urgent problem in the field of intelligent identification. This paper designs an intelligent recognition and positioning algorithm design for stairs based on depth images. By fusing depth images and color images, the improved best neighborhood search algorithm and stereo plane reconstruction algorithm are used to complete the recognition and positioning of the stairs model. After experimental analysis, the method has the characteristics of strong reliability and high robustness, and can meet the application of robots to identify stairs in complex scenes.