“Heterogeneous sensor fusion” is a term that refers to the integration and combination of data from various types of sensors, which may have different data formats, measurement units, and sources. This process aims to provide a more comprehensive and accurate understanding of the environment or system being monitored. It is commonly used in fields such as robotics, autonomous vehicles, and industrial automation to improve perception and decision-making by combining data from diverse sensor types like cameras, lidar, radar, and more.