Open-source simultaneous localization and mapping, visual-inertial odometry and state-estimation systems usable for UAV navigation, inspection and mapping missions.
11 evidence-linked resources in this topic
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.
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
ROS metapackage for UAV control, state estimation, trajectory generation and tracking.
An open source platform for visual-inertial navigation research.
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
Square-Root Robocentric Visual-Inertial Odometry with Online Spatiotemporal Calibration
An optimization-based multi-sensor state estimator
A Robust and Versatile Monocular Visual-Inertial State Estimator