Systems and methods for predicting presence of objects using decentralized data collection and map data-based information compression

A system for predicting presence of objects in an area, the system comprising:

• a controller programmed to:
• obtain a 2-dimensional matrix representing presence of objects in an area, each of values of the 2-dimensional matrix representing presence of objects in corresponding sub-region of the area;
• filter the 2-dimensional matrix based on map information;
• convert the filtered 2-dimensional matrix to 1-dimensional data;
• input a series of the 1-dimensional data to a trained prediction machine learning model to obtain 1-dimensional data for future presence of objects;
• and
• convert the 1-dimensional data for future presence of objects to a 2-dimensional matrix representing the future presence of objects.

A non-transitory computer readable medium storing instructions, when executed by a processor, causing the processor to:

• obtain a 2-dimensional matrix representing presence of objects in an area, each of values of the 2-dimensional matrix representing presence of objects in corresponding sub-region of the area;
• filter the 2-dimensional matrix based on map information;
• convert the filtered 2-dimensional matrix to 1-dimensional data;
• input a series of the 1-dimensional data to a trained prediction machine learning model to obtain 1-dimensional data for future presence of objects;
• and
• convert the 1-dimensional data for future presence of objects to a 2-dimensional matrix representing the future presence of objects.