9 citations · 9 across the 4 of their papers we have counts for
8 papers
Hierarchical Segment-based Optimization for SLAM
Yuxin Tian, Yujie Wang, Ming Ouyang +1
This paper presents a hierarchical segment-based optimization method for Simultaneous Localization and Mapping (SLAM) system. First we propose a reliable trajectory segmentation me…
Robust SLAM Systems: Are We There Yet?
Mihai Bujanca, Xuesong Shi, Matthew Spear +3
Progress in the last decade has brought about significant improvements in the accuracy and speed of SLAM systems, broadening their mapping capabilities. Despite these advancements,…
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
Zike Yan, Yuxin Tian, Xuesong Shi +3
Recent advances have enabled a single neural network to serve as an implicit scene representation, establishing the mapping function between spatial coordinates and scene propertie…
A Collaborative Visual SLAM Framework for Service Robots
Ming Ouyang, Xuesong Shi, Yujie Wang +5
We present a collaborative visual simultaneous localization and mapping (SLAM) framework for service robots. With an edge server maintaining a map database and performing global op…
RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor Localization
Dongjiang Li, Jinyu Miao, Xuesong Shi +9
Feature extraction plays an important role in visual localization. Unreliable features on dynamic objects or repetitive regions will interfere with feature matching and challenge i…
DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features
Dongjiang Li, Xuesong Shi, Qiwei Long +5
A robust and efficient Simultaneous Localization and Mapping (SLAM) system is essential for robot autonomy. For visual SLAM algorithms, though the theoretical framework has been we…