Define the environment
Identify the civilian application, capture area and operating conditions.
Air–ground mapping · Visual positioning
See the coverage.Understandthe position.
AG-RMS brings vehicle and drone mapping into one synchronized field view. ZhiTu VisNav explores map-referenced visual navigation, with a reported 740-frame campus trial and a clear embedded-engineering roadmap.
MAPPING COORDINATION / POSITIONING RESEARCH
AIR ↔ GROUNDCONCEPT STUDY
Illustrative schematic. Not actual field data or a navigation display.
AG-RMS mapping systemZhiTu VisNav
From the technical profile
Engineering you can evaluate.
Specific capabilities. Reported measurements. Follow each figure to its source context and application.
AG-RMS mapping system
<200 msSynchronization delay
Profile-reported synchronization of air and ground information on the shared display.
Technical details ↗AG-RMS mapping system
≤2 cmAbsolute positioning accuracy
Source label: absolute positioning accuracy. Elevation is listed separately at ≤3 cm.
Technical details ↗ZhiTu VisNav
9.8 mMedian position deviation
Reported at 120 m altitude in the campus trial; this is a median, not a maximum-error bound.
Technical details ↗ZhiTu VisNav
740Consecutive localization frames
Profile-reported closed-loop sequence; not 740 independent flights.
Technical details ↗Systems
Two capabilities. Two clear evaluation paths.
Explore the technology, source-reported performance, reference configurations and application scenarios.
MAPPING COORDINATION
AG-RMS mapping system
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.
Integrated system · Field pilot scoping↗
POSITIONING RESEARCHZhiTu VisNav
Map-referenced visual navigation using a down-facing camera and edge compute. A reported 740-frame campus trial achieved a median position deviation of 9.8 m at 120 m altitude, with an unoptimized prototype time of 0.23 s/frame.
Campus-tested prototype · Engineering migration↗
Explore how it works
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.
The way we work
From field questions to a defined evaluation.
Our approach ↗Review the inputs
Check sensors, reference maps, data access and integration boundaries.
Run a scoped evaluation
Measure coverage or positioning against agreed reference data.
Review before scaling
Document failure cases, support needs and the next engineering milestone.
Technical notes
Better questions.
Better evaluations.
The next step