Multi-sensor data fusion combines data from multiple sensors to create more accurate datasets, with applications in meteorology, environmental analysis, transportation management, and target tracking. It relies on sensor technology, mathematical processes, and data integration, and mimics human perception. Low-level data fusion combines raw data to create more specific and synthetic datasets. Multi-sensor data fusion is […]