The SLAM Crowd Engine™ is the second stage in the indoo.rs SLAM Revolution. Building on the phenomenal success of the SLAM Engine™, the next phase is about automating maintenance of the live installation. By harnessing the power of the crowd, the initially SLAM Engine™ created map is then maintained by the crowd through anonymously crowd-sourcing the data from phones inside the building. This allows for any change in a building floor plan whether temporary or permanent to be immediately implemented into the map.

Turning map maintenance from a manual task to a self healing service (task for the crowd) is the next step to seamless worldwide mapping. Using the crowd enables maps to be as up to date as the last device that has gone through the venue. Added to this ease of maintenance is that, as new recordings are going to be taken automatically all the time, the accuracy will improve even further.

The bigger the mapped area, the bigger the savings on maintenance.

Reasons for using the SLAM Crowd Engine

  1. Decrease maintenance costs
  2. Increase accuracy
  3. Harness the crowd

Areas of implementation

  1. Multipurpose venues
  2. Huge installations
  3. Conference centers, exhibition halls…
  4. Department stores
  5. Anywhere that is constantly being optimized for use (i.e every indoor location)

It already has, is the simple answer. We are fine tuning the full release which will be commercially available at the end of this year.
This is the beginning of the mapping the indoor world without any effort from you; enabling worldwide implementation with ease.

Follow the indoo.rs revolution
Let the crowd work for you!

SLAM Crowd recording1
An app user navigates along the black dotted path. His phone detects Beacons at certain points (orange squares). Along with the radio map (green points), these are used to guess the user’s location (dark blue ellipses). The sensor data is used to detect steps and headings, which are then fused to a location to get a trajectory (red line). SLAM then matches the data to improve the trajectory (blue line). The estimated positions when seeing the radio data (blue triangles) are interpolated to update the map points.

Need more info? Download our indoo.rs SLAM Onepager