What is sensor fusion in VIM?

• A. Merges data from multiple sensors to improve accuracy
• B. Replaces imagery with LiDAR
• C. Reduces data volume by discarding sensors
• D. Isolates data from each sensor

Answer: (A)

Sensor fusion blends information from multiple sensing modalities to create a single, more accurate view than any one sensor could provide alone. In virtual inspection methods, that means combining data from cameras, LiDAR, radar, thermal imaging, and other sources and aligning them so their strengths complement each other. Cameras give texture and color; LiDAR provides precise geometry and distance; other sensors add material properties or heat signatures. By merging these sources, you reduce uncertainty, improve object recognition and localization, and maintain performance across challenging conditions like glare, low light, or occlusions. That’s why merging data from multiple sensors to improve accuracy is the best answer, rather than replacing imagery with a single modality, discarding sensors, or keeping data isolated.