Occupancy grid maps are a common way for robots and vehicles to understand their surroundings. These maps are made up of individual cells that show whether a space is occupied or not. The traditional way of creating these maps requires a lot of memory and knowledge about the environment's size. In this paper, a new method is introduced to simplify the process of making occupancy grid maps using math. This new approach makes it easier and more efficient to create these maps without needing as much memory or prior information about the environment.