A method may include obtaining sensor data from one or more LiDAR units and determining a point-cloud corresponding to the sensor data obtained from each respective LiDAR unit. The method may include aggregating the point-clouds as an aggregated point-cloud. A number of data points included in the aggregated point-cloud may be decreased by filtering out one or more of the data points according to one or more heuristic rules to generate a reduced point-cloud. The method may include determining an operational granularity level for the reduced point-cloud. An array of existence-based objects may be generated based on the reduced point-cloud and the operational granularity level.