collaborators

7 papers

cs.CV2026

VGGT-CD: Training-Free Robust Registration for 3D Change Detection

Wei Zhang, Songhua Li, Yihang Wu +2

3D change detection from multi-view images is essential for urban monitoring, disaster assessment, and autonomous driving. However, existing methods predominantly operate in the 2D…

cs.RO2026

IGV-RRT: Prior-Real-Time Observation Fusion for Active Object Search in Changing Environments

Wei Zhang, Ping Gong, Yujie Wang +7

Object Goal Navigation (ObjectNav) in temporally changing indoor environments is challenging because object relocation can invalidate historical scene knowledge. To address this is…

cs.RO2026

An RTK-SLAM Dataset for Absolute Accuracy Evaluation in GNSS-Degraded Environments

Wei Zhang, Vincent Ress, David Skuddis +2

RTK-SLAM systems integrate simultaneous localization and mapping (SLAM) with real-time kinematic (RTK) GNSS positioning, promising both relative consistency and globally referenced…

cs.RO2026

VIGS-SLAM: Visual Inertial Gaussian Splatting SLAM

Zihan Zhu, Wei Zhang, Moyang Li +3

We present VIGS-SLAM, a visual-inertial 3D Gaussian Splatting SLAM system that achieves robust real-time tracking and high-fidelity reconstruction. Although recent 3DGS-based SLAM…

cs.RO2026

MCGS-SLAM: A Multi-Camera SLAM Framework Using Gaussian Splatting for High-Fidelity Mapping

Zhihao Cao, Hanyu Wu, Li Wa Tang +5

Recent progress in dense SLAM has primarily targeted monocular setups, often at the expense of robustness and geometric coverage. We present MCGS-SLAM, the first purely RGB-based m…

cs.RO2026

HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction

Wei Zhang, Qing Cheng, David Skuddis +3

We present HI-SLAM2, a geometry-aware Gaussian SLAM system that achieves fast and accurate monocular scene reconstruction using only RGB input. Existing Neural SLAM or 3DGS-based S…