The handoff preserves sensor visibility while the deployed detector falls behind.
The next test needs dependable first-minute detection, while the deployed package must keep its steady-state speed and accuracy.
Who you’d be doing this for
“The crew watched the target vanish right after handoff, and now they want to know if we can trust the next run.”
Emre Demir · Autonomy Program Manager
Responsible for deciding whether an unmanned-system demonstration can proceed with the deployed perception stack.
What is at stake
Vehicle recall drops to 86% just after sensor-controller handoff, despite strong steady-state results. You have to weigh a fast, reversible deployment change against preserving the accuracy and speed already proven in replay.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- first-minute recall vs. steady-state performance
- fast field readiness vs. reproducible replay evidence
- sensor timing stability vs. model robustness
- embedded frame budget vs. tracking continuity
Why Applied Intuition
Axion deployments depend on perception models that remain reliable when sensor control changes on embedded hardware.
Written with these in mind
Not your kind of problem? 65 more at Applied Intuition, or browse every organization.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.