19 citations · 39 across the 9 of their papers we have counts for
5 papers · 1 filter
A General Framework for Lifelong Localization and Mapping in Changing Environment
Min Zhao, Xin Guo, Le Song +4
The environment of most real-world scenarios such as malls and supermarkets changes at all times. A pre-built map that does not account for these changes becomes out-of-date easily…
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,…
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…
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM
Xuesong Shi, Dongjiang Li, Pengpeng Zhao +15
Service robots should be able to operate autonomously in dynamic and daily changing environments over an extended period of time. While Simultaneous Localization And Mapping (SLAM)…