Submaps: Large Warehouse Coverage | Marvelmind
Building & Managing Submaps: What This Shows
This video demonstrates Marvelmind's precise ±2cm indoor positioning accuracy using submaps technology. Submaps enable seamless mapping of expansive warehouses, manufacturing plants, and large buildings by dividing complex spaces into manageable zones with smooth soft handover between areas. Perfect for autonomous robots, drones, and forklift tracking in industrial automation.
Transcript
This video demonstrates Marvelmind's precise ±2cm indoor positioning accuracy using submaps technology. Submaps enable seamless mapping of expansive warehouses, manufacturing plants, and large buildings by dividing complex spaces into manageable zones with smooth soft handover between areas. Perfect for autonomous robots, drones, and forklift tracking in industrial automation.
0:00 Hello. This video will explain how to build a submap—or let's say a map consisting of three submaps. So this would be just the tracking as you see. There are three submaps: the map zero, submap one, submap two. So this is the submap one. Submap two is another submap. So it covers all this area. So this is our map one. There's beacons—one beacon over there, one beacon over there. Then at the end, let me show: at the end, this beacon—this beacon belongs, this beacon 82, and it belongs to submap one and submap two. So this is beacon 78, which belongs to submap...
1:05 Submap two. And now I will be coming back and we'll be showing the track of them—a mobile beacon over all those three submaps. So once again, there is [equipment] installed. We believe this beacon is their forklift robot. [Or?] drone. [Or?] virtual reality helmet. I will put them—remove the tracking—and now let's move. So this life by [?]—as you see, we define the service zones. Several zones defined for each submap where the submap will be handling [and] detecting. So now we are in service zone of submap two. You see they are pretty far.
2:04 Wait, second. [Slight delay.] So we are here and that is where we are. There because of submap two. This continues. [Music.] So now we are passing middle of the map. So this is one of the beacons which is handling [or] turning back. Today we started. [Music.] So that is the beacon. [Music.] Effectively, the tracking is everywhere.
3:16 Where the visibility to those two beacons of this particular submap is. So we're returning back to the desk. So that was the track. As you see, there were two interruptions: one is here—I don't know, there isn't probably some right here—and another was here also. Not difficult, difficult to say now because we turn around, but otherwise the track was absolutely smooth in all this area. So this way it is possible to build maps of your choice, any size, and to cover very, very large area. So now we'll be showing how to build even larger areas.
Video Contents
Key Takeaways
- Submaps enable ±2cm indoor positioning accuracy across massive warehouses, plants, and buildings without precision loss
- Soft handover between submaps ensures autonomous robots, drones, and forklifts maintain continuous tracking during zone transitions
- Submap architecture simplifies installation and calibration for enterprise-scale indoor positioning systems
- Submaps scale RTLS technology across multi-level facilities and complex industrial environments
- Marvelmind's indoor GPS approach outperforms UWB systems when precision and coverage must coexist
Relevant For: System Architects & Large-Scale Deployment Teams
Warehouse managers, automation engineers, and roboticists building indoor positioning systems across large facilities. This demo addresses the critical challenge of scaling positioning accuracy across multiple zones and seamlessly handling handovers between mapped areas without losing precision.
FAQ
Submap Architecture & Multi-Zone Coverage
Marvelmind's submaps feature solves a fundamental challenge in indoor positioning: scaling accurate RTLS across massive facilities without sacrificing precision or creating dead zones. This live performance demo showcases ±2cm accuracy maintained while transitioning between multiple submaps—critical for autonomous indoor robots, warehouse drones, and forklift tracking systems operating across entire plants. Submaps divide large environments into logically mapped regions, enabling soft handovers that maintain continuous positioning accuracy. The technology is particularly valuable for warehouse automation, where forklifts and autonomous vehicles must navigate seamlessly across loading docks, aisles, and multi-level facilities. By implementing submaps, organizations can build enterprise-scale indoor positioning systems without the traditional trade-off between coverage area and positioning precision. The approach simplifies installation and calibration while reducing the complexity of managing massive coordinate spaces.
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