VR Photography Embedded Map With Grid based Indoor Positioning

We propose a VR Photography embedded map construction specifically designed for the navigation of indoor places for various surrounding conditions and different terrains. A broad variety of mapping and navigation systems are unusable in indoor places due to the intricate details that are needed for navigating small places. They also fail because of inaccuracy to small distances due to not being able to map these regions. Also, navigation in these places needs location data which can distinguish position to highly smaller distances. We present a system that can construct a map of an indoor place based on its images or videos and a navigation system that can accurately help in any kind of indoor place irrespective of the surrounding. This navigation system is built on a grid based system that has a position estimator model trained with data from each block of the grid and can specifically locate the position of each such block.