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[IROS2026] Tight coupling of IMU motion model learning and LiDAR-IMU odometry
Robust Radar-Inertial-Odometry in Dynamic 3D Environments
IR-VIO: Illumination-Robust Visual-Inertial Odometry Based on Adaptive Weighting Algorithm
M-LIO: Multi-lidar, multi-IMU odometry with sensor dropout tolerance
Deep Visual Inertial Odometry with Kalman Filter
[ICRA2025] Tightly Coupled Range Inertial Odometry and Mapping with Exact Point Cloud Downsampling
IR Visual Inertial Odometry
IVISO Visual Inertial Odometry
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Last Updated: October 4, 2026
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If you are interested in our work, please check our website: air-io.github.io. IntelliDR — AI-ML Intelligent Dead Reckoning | SIH 2026 Project Demo What happens when a vehicle loses GNSS inside a ... Traveling at constant velocity is the most efficient trajectory for most robotics applications. Unfortunately without accelerometer ... 1919] Fujimoto+, Tightly Coupled LiDAR-IMU This video shows experimental results on public datasets and real-world environments with our recently proposed visual- Explore the advanced integration of deep
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