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Found 3 papers, 1 papers with code
FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding
This is achieved by distilling feature maps generated from image-based foundation models into those rendered from our 3D model.
Learned Monocular Depth Priors in Visual-Inertial Initialization
Visual-inertial odometry (VIO) is the pose estimation backbone for most AR/VR and autonomous robotic systems today, in both academia and industry.
Semantic Mapping with Simultaneous Object Detection and Localization
Our results demonstrate that the particle filtering based inference of CT-Map provides improved object detection and pose estimation with respect to baseline methods that treat observations as independent samples of a scene.
Robotics
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