Sensor Fusion Applications

 

Sensor Fusion is an umbrella term for applications that collect data from multiple sensors (cameras, analog to digital converters etc.) correlate and process it and then use the results to make decisions. In many cases this processing and decision making must be performed in real-time and could result in loss of life and or property damage if the correct decision is not made in time. Examples of sensor fusion include: autonomous vehicles, big science, radar processing, satellite imaging, and 5G beamforming.

There are many challenges involved in implementing sensor fusion such as:

• Scalability:         Large numbers of sensors delivering high-bandwidth data.

• Latency:             Critical when actionable results are needed in a real time environment.

• Determinism:     Variability in latency is problematic where data streams need to be correlated.

• Availability:       Failure of these systems can often result loss of life or property.

• Power:               Particularly important in battery powered systems

 

RapidIO technology from Praesum provides the ideal solution for sensor fusion challenges. In contrast with competing protocols, RapidIO offers peer to peer connectivity, low deterministic latency with industry leading high availability features such as High Availability/Redundant System Hardware (HARSH) profiles. RapidIO also provides a rich range of packet semantics including: non-coherent shared memory, cache coherent shared memory, streaming data, messaging and time synchronization. 

Praesum provides a complete solution for high performance sensor fusion over RapidIO including: switch and endpoint IP cores, Linux drivers and protocol analysis tools for debug and optimization. In addition, with over 20 years of RapidIO experience, Praesum can provide consulting and design services to get you to market quickly.

Learn more about Praesum's Sensor Fusion offerings below: