ARTIFICIAL INTELLIGENCE USING IN VISUAL SLAM METHODS – A REVIEW

  • Rajay Vedaraj I.S, Jino.S.Ganesh, Niranjen swarup, Madhan Kumar, Raviteja Tirumalapudi

Abstract

SLAM (Simultaneously Localization and Mapping) is widely used in many ways; they are used in robots, autonomous cars, mobile, underwater robots, and unmanned aerial vehicles, etc. a lot of applications use slam technology. Visual SLAM is a solution for the ground robot, and another type of robot for the localization and mapping was in this field for the past decade lot research. In the paper, we go to see the visual SLAM method direct and indirect way with progress how deep learning used to solve the dynamic problem in the environment mapping techniques which are applied to VSLAM are reviewed. Then finally, AI will be the developed which can affect similar human.

Keywords: Deep learning, Mobile robots, Visual SLAM

Published
2020-06-06
How to Cite
Rajay Vedaraj I.S, Jino.S.Ganesh, Niranjen swarup, Madhan Kumar, Raviteja Tirumalapudi. (2020). ARTIFICIAL INTELLIGENCE USING IN VISUAL SLAM METHODS – A REVIEW. International Journal of Advanced Science and Technology, 29(4s), 3764 - 3773. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/22708