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A Benchmark Comparison of Monocular Visual-Inertial Odometry Algorithms for Flying Robots
【RAL2025】【Open-Source】Super-LIO: A Robust and Efficient LiDAR-Inertial Odometry System
DeLiO: Decoupled LiDAR Odometry (IEEE IV, 2019)
ICRA 2020: LiDAR Inertial Odometry Aided Robust LiDAR Localization System in Changing City Scenes
IR-VIO: Illumination-Robust Visual-Inertial Odometry Based on Adaptive Weighting Algorithm
[2022,IROS]Towards Robust Visual-Inertial Odometry with Multiple Non-Overlapping Monocular Cameras
Unified Multi-Modal Landmark Tracking for Tightly Coupled Lidar-Visual-Inertial Odometry
Range-Visual-Inertial Odometry: Scale Observability Without Excitation
Visual-Inertial Navigation Systems: An Introduction
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Last Updated: October 4, 2026
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Summary
Paper Link: arxiv.org/abs/2104.14938 For more information: please visit our website superodometry.com/ This paper presents a tightly-coupled multi-sensor fusion algorithm termed Paper Title - Leveraging Planar Regularities for Point Line Flying robots require a combination of accuracy and low latency in their state This video shows experimental results on public datasets and real-world Demo video using two non-overlapped fisheye cameras to improve the robustness of VIO in the narrow indoor "Unified Multi-Modal Landmark Tracking for Tightly Coupled Traveling at constant velocity is the most efficient trajectory for most robotics applications. Unfortunately without accelerometer ... Enabling autonomous robots to operate robustly in In this video, Kyle from ModalAI explains what This talk was presented at the ICRA21 Workshop on
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