The Design of Person Carrier Robot using SLAM and Robust Salient Detection

In this paper, we propose a person carrier robot for the movement of people with blindness and injured lower body in the building. Visually impaired people are unfamiliar with the structure of the building for the first time, so there is a high risk of accidents when moving. Likewise, patients suffering from lower body injuries are more uncomfortable to move than normal people, and therefore, there are many difficulties in moving. To solve this problem, we propose a robot that creates a building map, moves to a destination, and detects obstacles. Hector SLAM is used to map buildings, calculation of odometry when person carrier robot is moving, USB camera and Robust Salient Detection for object detection.