Introduction on Visual Odometry Drift In Loop Closures
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Core Information
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Developments
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ICRA2023 Regular Paper - Cerberus: Low-Drift Visual-Inertial-Leg Odometry for Agile Locomotion
Trailer: Effectively Detecting Loop Closures using Point Cloud Density Maps
Towards zero-drift AR by combining mesh model tracking with visual odometry
Visual Odometry Vs Visual SLAM
Loop closing of Visual SLAM
LoopGNN: Visual Loop Closure Detection Through Deep Graph Consensus
Deep learning-based Visual Odometry and Loop Closure for SLAM
High Speed, Low-Drift Visual Inertial Odemetry By KEF Robotics
Reducing Drift in VO by Inferring Sun Direction Using a BCNN (ICRA'17)
Visual Odometry with Drift-Free Rotation Estimation Using Indoor Scene Regularities (BMVC 2017)
Full Guide
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Last Updated: August 18, 2026
Summary
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