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Full nameAdaptiveHybridVisualOdometry
DescriptionA hybrid visual odometry system that combines direct image alignment with sparse feature tracking. The method dynamically switches between tracking modes based on scene texture and motion characteristics. Stereo depth and IMU measurements are fused through an adaptive Kalman filter, while loop closure detection reduces long-term drift and improves global consistency.
ParametersMaximum tracked features: 3000
Direct alignment pyramid levels: 4
Feature re-detection interval: 10 frames
IMU update rate: 200 Hz
Loop closure similarity threshold: 0.85
Pose optimization iterations: 50
Programming language(s)C++, Python, CUDA
HardwareA100
Submission creation date23 Jun, 2026
Last edited23 Jun, 2026

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indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
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Infoalllakes. 1llakes. 1ssand box 1lsand box 1sstora. room 1lstora. room 1sstora. room 2lstora. room 2sstora. room 2 1lstora. room 2 1sstora. room 2 2lstora. room 2 2sstora. room 3lstora. room 3stunnel 1ltunnel 1stunnel 2ltunnel 2stunnel 3ltunnel 3s
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