Visit Frequency Map

Visit frequency maps represent the number of times an agent or user visits specific locations, providing valuable insights for various applications. Current research focuses on improving the efficiency and scalability of these maps, particularly for multi-agent systems and large datasets, employing techniques like compact encoding and efficient information exchange algorithms. These maps are proving useful in diverse fields, from optimizing robot exploration and improving the accuracy of trajectory-user linking to enhancing the quality assessment of super-resolution images. The development of more efficient and robust visit frequency map methods is driving advancements in areas requiring spatial-temporal analysis of movement and location data.