SLAM-based technology to improve the impact of uneven illumination on minimally invasive surgery

Abstract

Due to developments in surgery, minimally invasive surgery (MIS) has become a common choice for surgical patients. Because of the small surgical incision in MIS, its postoperative effects will be less fat liquefaction, infection, splitting, numbness of the incision and weakness of the healing abdominal wall muscles compared to traditional surgery. However, many bottlenecks have been encountered in MIS, such as uneven illumination affecting the recognition of organ images. In other words, such problems are about improving the ability of Simultaneous Localization and Mapping (SLAM) to extract information about the environment. This paper summarises some relevant research on SLAM improvement methods. Scientists are now looking for more suitable methods for constructing maps of the human internal environment, including improvements on existing SLAM techniques. In the context of SLAM, what SLAM is and the history of SLAM is described. Traditional SLAM methods as well as SLAM improvement methods are also mentioned. Finally, its advantages and disadvantages are discussed, and its prospects are predicted.