Modern platforms usually carry a myriad of sensors to create a good and versatile model of reality. Nonetheless, different sensors will provide data outputs that are different and misplaced from each other. Moreover, these sensors operate separately and do not utilize the capabilities of each other.

For example, the output of the dual vision sensor (two cameras) will be shifted and inconsistent with the output of the Lidar point cloud. These expensive sensors require expensive positioning unit (GPS/IMU) to orient themselves and will not take advantage of the unique properties of each other.

The Harmony software is based on advanced computer vision algorithms and create a synergetic sensing composition where each sensor takes advantage of the unique properties of the other sensor. The synergetic sensing composition improves each output dataset by using information from a different sensor to deliver an optimized version with higher accuracy and improved qualities.

Companies that produce integrated mapping platforms will be able to obtain high accuracy maps with inexpensive Lidar, with low-cost navigation system or even without using GPS.

The inherent redundancy of its components guarantees:

  • Improving the Cost-Performance balance for low-cost, automotive-grade lidar systems powered by consumer-grade inertial navigation devices
  • Sustainable operation within GPS-denied environment
  • Sub-pixel registration between complimentary lidar & optical features
  • Avoiding the requirement for lengthy acquisition times and meticulous flight planning that is typical in conventional mapping projects.