Abstract
Simultaneous Localization and Mapping (SLAM) is a method to determine the location of a mobile robot in an unfamiliar environment with external information through the information obtained by the sensor and constructs a three-dimensional map of the unknown environment. There are two main types of SLAM: laser SLAM and visual SLAM. Visual SLAM technology uses image information as the only external information source, that is, to use the camera for pose estimation and map construction. SLAM technology using vision as an external information source is a very active research area with many excellent works. In recent years, visual SLAM has been widely used in the medical field, bringing many new methods. This thesis aims to absorb the extensive work on visual SLAM and its application in the medical field, and introduce their latest progress. And discuss the challenges and possible future development trends of visual SLAM technology in the medical field.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
