1 citations · 1 across the 4 of their papers we have counts for
4 papers
SCOUT: Semantic scene COverage via Uncertainty-guided Traversal
Junyu Mao, Sara Ayoubi, Vishnu D. Sharma +2
Robots that operate over extended periods should not merely visit space; they should progressively understand it. Yet most 3D scene graph pipelines treat perception as a post-proce…
GPA-VGGT:Adapting VGGT to Large Scale Localization by Self-Supervised Learning with Geometry and Physics Aware Loss
Yangfan Xu, Lilian Zhang, Xiaofeng He +3
Transformer-based general visual geometry frameworks have shown promising performance in camera pose estimation and 3D scene understanding. Recent advancements in Visual Geometry G…
SP-VIO: Robust and Efficient Filter-Based Visual Inertial Odometry with State Transformation Model and Pose-Only Visual Description
Xueyu Du, Lilian Zhang, Chengjun Ji +5
Due to the advantages of high computational efficiency and small memory requirements, filter-based visual inertial odometry (VIO) has a good application prospect in miniaturized an…
PO-MSCKF: An Efficient Visual-Inertial Odometry by Reconstructing the Multi-State Constrained Kalman Filter with the Pose-only Theory
Xueyu Du, Lilian Zhang, Ruochen Liu +3
Efficient Visual-Inertial Odometry (VIO) is crucial for payload-constrained robots. Though modern optimization-based algorithms have achieved superior accuracy, the MSCKF-based VIO…