DINO-VO couples DINOv2 semantic features with fine-grained CNN features and a DINOv2-aligned keypoint detector to achieve accurate, generalizable monocular visual odometry at real-time speed.
Gcnv2: Efficient correspondence prediction for real-time slam,
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DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model
DINO-VO couples DINOv2 semantic features with fine-grained CNN features and a DINOv2-aligned keypoint detector to achieve accurate, generalizable monocular visual odometry at real-time speed.