Synchronization delay
Profile-reported synchronization of air and ground information on the shared display.
MAPPING COORDINATION Integrated system · Field pilot scoping
AG-RMS. See the whole survey.
AG-RMS combines vehicle and drone capture on a customized QGroundControl display. The profile reports <200 ms synchronization, absolute positioning accuracy ≤2 cm, elevation ≤3 cm and operation over an encrypted in-vehicle LAN.
Plan a mapping pilot ↗Technical highlights
The capability, in detail.
Reported capabilities and figures from the supplied technical profile, with their application context.
Absolute positioning accuracy
Source label: absolute positioning accuracy. Elevation is listed separately at ≤3 cm.
Points per m²
Reported point-cloud density for the described AG-RMS configuration.
Air–ground work rate
Reported linear survey work rate; actual route and capture conditions are not specified.
Source: Technical Capabilities — External Presentation · 2026-08 · pp. 12. Source and scope ↓
Engineering overview
AG-RMS air–ground real-time mapping system
AG-RMS brings ground-vehicle and aerial viewpoints into one mapping workflow. A proprietary real-time data bridge and multi-vehicle communications middleware synchronize positions, attitudes and trajectories on the vehicle’s QGroundControl display. Operators review occluded areas and coverage gaps while still on site, then assign targeted aerial recapture.
Principle & workflow
AG-RMS: capture, coordinate, complete
InputCapture both viewpoints
Ground and aerial capture provide complementary viewpoints of the survey area. The goal is to observe surfaces that one platform alone may miss.
ProcessShare the field picture
A proprietary data bridge and multi-vehicle communications middleware bring positions, attitudes and trajectories onto the vehicle display over the described encrypted local network.
OutputClose coverage gaps
Operators examine the common coverage view and identify missing observations while still on site. Aerial recapture can then address the selected gaps before demobilization.
Synchronized field workflow
A common operational picture
Display vehicle trajectories and drone positions and attitudes together, giving the operator a view of captured areas and places needing another viewpoint.
Coverage review
Target gaps before demobilization
Use aerial capture to complement ground-level blind areas. The intended value is to discover and fill omissions during the same mobilization.
Offline operation
Work over the local vehicle network
The described configuration transfers data through an encrypted in-vehicle LAN and does not require an internet connection for that workflow.
Additional reported figures
| Measure | Reported value | Context |
|---|---|---|
| Elevation accuracy | ≤3 cm | Separate source-listed elevation figure; validate against independent survey control. |
| Single-pass coverage claim | 100% | Source-stated workflow claim. Required surfaces and trial denominator are not defined, so this is not a universal coverage guarantee. |
| Comparison with traditional surveying | 10× | Reported comparison figure; the baseline and calculation method are not provided. |
| Shorter project duration | 80% | Separately reported duration reduction. Do not treat this and the 10× figure as mathematically equivalent. |
Reference hardware and software configuration
| Component | Model / platform | Source-listed role or rating |
|---|---|---|
| LiDAR | RIEGL VUX-1HA-22 | 1.8 million points/s |
| Position and orientation | Trimble AP+60 Land | Positioning and attitude reference |
| Panoramic imaging | FLIR Ladybug 5+ | 30 megapixels |
| Aerial platform | DJI M350 RTK | Aerial capture platform |
| Common display | Customized QGroundControl | Air–ground positions, attitudes and trajectories |
| Data and communications | Proprietary real-time bridge + multi-vehicle middleware | Synchronized field workflow over an encrypted in-vehicle LAN |
This is the configuration identified in the supplied profile, not a claim of universal sensor compatibility.
Applications & value
Where the engineering matters.
Application context
Smart cities and real-scene 3D
Combine ground and aerial viewpoints for urban 3D reconstruction, reviewing occluded surfaces before the crew leaves.
Application context
Road asset inventory and maintenance
Capture road corridors and surrounding assets with a common coverage view, then target areas missed by the vehicle.
Application context
Power and energy corridors
Coordinate complementary observations of corridor assets and surrounding ground features for inspection and mapping.
Application context
Emergency assessment
Support civilian mapping and coverage review when public internet connectivity is unavailable.
Who it's for
AG-RMS air–ground real-time mapping system
Survey operators, geospatial teams and integration partners working on civilian infrastructure and industrial sites.
Bring the application, representative inputs and acceptance criteria. We will connect the relevant technology and platform to a defined engineering deliverable.
What we start with
- Capture objectives and coverage acceptance criteria
- Sensor stack, timestamps and data formats
- Field workflow, connectivity and reference measurements
What the scope can include
- An AG-RMS configuration and field integration scope
- A common air–ground capture display and targeted recapture workflow
- Agreed mapping data handoff, coverage assessment and accuracy checks
Before we begin
Common questions
What is AG-RMS?
AG-RMS is an air–ground real-time mapping system built on customized QGroundControl, integrating vehicle and drone information with a proprietary real-time data bridge and multi-vehicle communications middleware.
What numerical performance does the profile report?
It reports <200 ms synchronization, absolute positioning accuracy ≤2 cm, elevation ≤3 cm, point-cloud density >2000 points/m² and air–ground work rate >20 km/day. Full measurement conditions are not provided.
Does AG-RMS need internet connectivity?
The described field workflow runs over an encrypted in-vehicle LAN without internet access. Network and hardware compatibility are defined for the project configuration.
How should the coverage and productivity claims be interpreted?
The profile states 100% single-pass coverage, a 10× comparison figure and 80% shorter duration. It does not define the coverage denominator or comparative baseline; these are separate reported claims to evaluate in a scoped field trial.
The next step