Autonomous Systems and Robotics real-time sensor fusion

Next generation autonomous systems require real-time sensor fusion, integrating sensory input from video, radar, laser, GPS, and inertial measurement devices. Real-time techniques for sensor fusion are well established in advanced aviation systems. However, other vehicle types, such as automotive, nautical, and unmanned aerial vehicles, stand to benefit from these techniques as well.

The Stillwater KPUTM enables new sensor fusion architectures due to the low-power and high performance of its operation. Since the KPU can offer real-time operation in very small power envelopes, real-time fusion architectures that push much of the signal conditioning and processing to the sensors become possible.

KPU-enabled smart sensor systems exhibit two significant benefits for enxt generation autonomous systems:

  • The overall system becomes more scalable as adding sensors automatically increases the computational capacity of the system
  • The fault tolerance of the system is improved as the sensors can calibrate and validate themselves, and replication of sensors is cost effective.

Relevant Features

  • High Performance
  • Low-power
  • Real-time
  • Accurate

  High Performance

The Stillwater KPUTM enables real-time sensor fusion for autonomous vehicle applications. The inherent parallelism of sensor fusion applications can be exploited with ease.


The power efficiency of the Stillwater KPUTM makes it possible to integrate real-time signal conditioning and characterization at the sensor, enabling new levels of integration and scalability.

  Key Partner

The team at Stillwater is your very own high-tech R&D lab, ready to help create award-winning products.

Integrate the Stillwater KPUTM into your next autonomous system. Contact us to learn more about our integration services