Multi-Sensor Data Fusion

Multi-sensor data fusion is the process of combining information from multiple sensors to produce a more accurate, complete, and reliable understanding of a situation than any single sensor could provide. By integrating diverse data sources—such as cameras, radar, or temperature sensors—it enhances detection, tracking, and decision-making. This approach reduces uncertainties and errors, leading to better insights in applications like autonomous vehicles, surveillance, and environmental monitoring. Essentially, it's like getting a fuller picture by looking through different lenses, each contributing unique details to inform better judgments.