Autonomous Navigation & Planning

Problem

Building autonomous UAV navigation: perception-driven planning, obstacle avoidance and swarm coordination on constrained onboard compute.

Topic reviewed 2026-08-16 · Membership is an editorial index, not a compatibility or performance claim.

Engineering questions

• Which planning framework fits the vehicle dynamics and mission constraints?
• How are perception, mapping and planning connected with bounded latency?
• What compute and sensor budget is realistic on the target hardware?
• How is behaviour validated in simulation before real-world testing?

Topic map

Stack layers: planning · perception_localization · flight_control · edge_ai · simulation

Engineering scope and evidence boundary

This topic groups planning and coordination records that OpenFly can verify from their official repository. The page is an entry point for comparing a local replanner, a global planner and a swarm coordination framework without treating their vehicle assumptions as interchangeable. Flight-test evidence, certification and compatibility claims remain outside the page unless a SourceRef records them. Resource cards expose verification status, maintenance signal, source tier and retrieval date so a reader can trace from the topic explanation to the underlying evidence.

Topic membership is an editorial index, not a compatibility or performance claim. Verify each resource through its SourceRef, retrieval date, and verification status.