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PRECISION LANDING
THE PRECISION LANDING PROBLEM
Navigation can bring an aircraft close. AI vision can recognize a landing area. Autonomous landing still needs a reliable way to confirm exactly which endpoint is intended.
GNSS · INS · maps
AI · machine vision
RangeMark · deterministic visual identity
THROUGH THE ENTIRE APPROACH
Find the designated landing point before the final landing phase.
Keep a visual reference as distance, viewpoint and geometry change.
Distinguish the intended landing point from plausible alternatives.
ONE DESIGNATED ENDPOINT
A landing system may see several plausible pads, docks or platforms. RangeMark gives the autonomy stack a deterministic reference for which one it should approach.
BUILT TO FIT THE AUTONOMY STACK
RangeMark is designed to work with the systems already onboard—adding a deterministic visual reference without asking platform partners to replace their cameras, compute, navigation or flight-control stack.
Designed to work with onboard cameras and vision systems already on the platform.
Add RangeMark recognition and identity to the onboard processing pipeline.
Give autonomy and flight-control systems a confirmed reference for the designated endpoint.
AUTONOMOUS DOCKING
RangeMark can provide a persistent machine-readable identity for a designated dock or landing endpoint, supporting autonomous approach and final confirmation.
Explore precision landing applications →BEYOND LANDING
The same visual identity capability can extend to other autonomous workflows where a machine must identify a specific physical asset or location. 3D mapping and surveying are part of that next horizon.
BUILT FOR WHAT COMES NEXT
RangeMark can support today’s remote and assisted workflows while providing an identity layer that remains relevant as UAV operations move toward increasingly autonomous systems.
PARTNERSHIPS
Talk with us about precision landing, platform integration or another autonomy workflow.
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