Abstract: The present disclosure includes artificial intelligence systems and methods for identifying grids for a geofence in an area in a map that includes a plurality of independently indexed regions of grids. The map is gridded into a plurality of grids and divided into a plurality of partitions. The methods include obtaining information of the geofence in the map, and determining a boundary grid series of the geofence from the plurality of grids. The methods include identifying at least one enclosed area in the geographical region, and upon determining that an enclosed area crosses two or more partitions, segmenting the enclosed area into two or more sub-areas. The methods also include determining boundary grids for each sub-area, and identifying internal grids in the sub-area for each sub-area. The methods further include identifying grids in the geographical region by collecting the boundary grids and the internal grids.

Abstract: Systems and methods for determining whether an object belongs to a target geo-fence are provided. The method may include: obtaining geographic coordinates corresponding to a geographic location of the object; determining information of a grid corresponding to the geographic coordinates; indexing the grid, based on the information of the grid, in a first grid database. The object may not belong to the target geo-fence if the indexed grid is not in the first grid database. The method may further include indexing the grid, based on the information of the grid, in a second grid database if the indexed grid is in the first grid database. The object may belong to the target geo-fence if the indexed grid is not in the second grid database. The method may further include determining whether the object belongs to the target geo-fence based on a relationship of the object and a local geo-fence if the indexed grid is in the second grid database.

Abstract: Systems and methods for determining whether an object belongs to a target geo-fence are provided. The method may include: obtaining geographic coordinates corresponding to a geographic location of the object; determining information of a grid corresponding to the geographic coordinates; indexing the grid, based on the information of the grid, in a first grid database. The object may not belong to the target geo-fence if the indexed grid is not in the first grid database. The method may further include indexing the grid, based on the information of the grid, in a second grid database if the indexed grid is in the first grid database. The object may belong to the target geo-fence if the indexed grid is not in the second grid database. The method may further include determining whether the object belongs to the target geo-fence based on a relationship of the object and a local geo-fence if the indexed grid is in the second grid database.

Abstract: The present disclosure includes artificial intelligence systems and methods for identifying grids for a geofence in an area in a map that includes a plurality of independently indexed regions of grids. The map is gridded into a plurality of grids and divided into a plurality of partitions. The methods include obtaining information of the geofence in the map, and determining a boundary grid series of the geofence from the plurality of grids. The methods include identifying at least one enclosed area in the geographical region, and upon determining that an enclosed area crosses two or more partitions, segmenting the enclosed area into two or more sub-areas. The methods also include determining boundary grids for each sub-area, and identifying internal grids in the sub-area for each sub-area. The methods further include identifying grids in the geographical region by collecting the boundary grids and the internal grids.