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Jev Drone preview

Jev Drone

A simulated drone navigates obstacles and reacquires a target.

Added to Jevfast

How it uses Jev

Classical vision converts camera depth and segmentation into a symbolic scene. Jev answers tactical maneuver and target-state questions at a slower cadence; code owns flight control and can veto unsafe maneuvers.

What Jev decides

Tactical maneuverExample answers · not a recorded Jev response · Source ↗
Question 1 · maneuver
YOUR APP
INSTRUCTION

Which single maneuver should the drone commit to right now?

STATE

Mission and aircraft configuration plus the observed scene, including obstacle sectors and target visibility.

JEV · CHOICE
  1. gap_left
  2. gap_right
  3. climb
  4. brake
  5. reacquire
Question 2 · risk
YOUR APP
INSTRUCTION

How dangerous is the drone's immediate situation?

STATE

Mission and aircraft configuration plus the observed scene, including obstacle sectors and target visibility.

JEV · SCORE
02
Question 3 · target truly lost
YOUR APP
INSTRUCTION

Has the drone genuinely lost the rover?

STATE

Mission and aircraft configuration plus the observed scene, including obstacle sectors and target visibility.

JEV · NOUL
YesNo

App workflow

  1. Derive a symbolic scene

    Capture camera frames and derive obstacle sectors and target geometry.

  2. Request tactical judgment

    Send the compact scene to Jev for a tactical judgment.

  3. Apply safety checks

    Check the proposed maneuver against the safety reflex and current flight constraints.

  4. Control the aircraft

    Pass the allowed maneuver to the 500 Hz guidance and control loop.

Why it is interesting

A typed tactical layer operates on a compact symbolic scene, with ordinary control code retaining the safety reflex and the fast flight loop.