SLAM & Visual-Inertial Odometry

Problem

Evaluating and integrating visual-inertial SLAM and VIO systems for UAV localization without GNSS dependence.

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

Engineering questions

• Which SLAM/VIO approach fits the sensor rig, compute budget and operating environment?
• What calibration workflow does the system require before it is trustworthy?
• How does the algorithm behave under degraded lighting, motion blur or feature-poor scenes?
• What evaluation protocol and datasets allow fair comparison?

Topic map

Stack layers: perception_localization · sensors · planning

Engineering scope and evidence boundary

This topic groups SLAM/VIO records that OpenFly can verify from their official repository. The page is an entry point for comparing the role of a visual-inertial estimator, a LiDAR SLAM pipeline and a full SLAM library without treating their different sensor assumptions as interchangeable. Sensor requirements, run-time performance 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.