AI GLOSSARY

Sensor Fusion

Sensor fusion is the process of integrating data from multiple sensors to produce a more accurate, comprehensive understanding of an environment or system. By combining different types of sensor inputs, such as cameras, radar, and accelerometers, sensor fusion improves the reliability and precision of information, and is often used in applications like autonomous vehicles and robotics. This approach helps reduce uncertainty and enhances decision-making by leveraging the strengths of various sensor types.

All Terms
A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z

Continue learning...

View Resources

5 min read
Industrial AI in 2026: From Hype to Real-World Impact
Industrial AI is increasingly coming to the fore in physical industries, but achieving measurable real-world impact requires careful consideration...
5 min read
UK Quantum Computing: Leading the Revolution
Of all the technologies being explored today, Quantum technologies are some of the most exciting and potentially most revolutionary, and the UK is at...
4 min read
Industrial AI in 2026: Turning Uncertainty into Opportunity
With pilot project failure rates as high as 80%, industries like manufacturing, utilities, and logistics have struggled to capitalise on AI’s...

Stay connected

News, announcements, and blogs about AI in high-stakes applications.