Conference
Open access
2026
Xvins: Boosting State Estimation Robustness via Hybrid Temporal Tracking and Efficient Deep Feature Extraction
This work proposes XVINS, a hybrid VIO frontend integrating XFeat—a lightweight deep feature extractor—into the optimization-based VINS-Fusion framework, presenting XVINS as a viable, real-time state estimation solution for agile Micro-Aerial Vehicles (MAVs) and mobile platforms.
Thura Peou, Sarot Srang, Lychek Keo
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